RU2649797C1 - Interactive system, method and computer reading medium data of presentation of advertising content - Google Patents

Abstract

FIELD: information technology.

SUBSTANCE: group of inventions relates to information exchange systems, in particular, to technologies of data exchange with the help of client-server technology. System provides user authentication, automated blocking of the provision of advertising content to users with a low rating, creating their own profile, which is stored in the database with other data transmitted over the network to the user, as well as ensuring the reliability evaluation of the generated data. Modules of the system provide an analysis of the user-requested web pages, user accounts, and also calculates a rating that shows the level of trust of the user's comments. System has the ability to highlight user comments as unreliable and / or provide automated blocking of the user's comments on the advertising content if the user's rating is less than the threshold value.

EFFECT: technical result consists in expanding the arsenal of means for exchanging data by processing information transmitted to users on the network.

32 cl, 20 dwg

Description

Technical field

The group of inventions relates to information exchange systems, in particular, in social networks, using client-server technology.

State of the art

The Internet has become a powerful e-commerce engine. Today, you can find on the Internet a large number of electronic stores, order or buy certain types of goods in them, from grocery to industrial, from socks to fence sections, or just look at the contents of electronic shelves.

The World Wide Web is developing at lightning speed, and the number of its regular subscribers and the volume of all kinds of information resources is growing every year. Every day, on the Internet, a large number of new websites appear. Each site seeks to sell certain places of its pages to different advertising agencies to place various advertising banners on them. For the owner of the site, the cost of advertising depends on the number of visitors to this site (number of impressions), as well as the size of the area provided on the site for an advertising banner.

Many solutions are known from the prior art, in which computer systems are disclosed that provide contextual advertising to a user, depending on his location, interests and / or preferences, the history of visiting sites stored in cookies (see applications WO 0109771 A1, publ. 08.02 .2011; WO 0208854 A2, publ. 01/31/2002; US 2011/0214163 A1, 09/01/2011; US 2011/0184811 A1, publ. 07/28/2011).

However, the solutions known from the prior art are not intended for the automated presentation of advertising content to a user, depending on the user's rating, and also for the automated blocking of the possibility of providing comments on advertising content to a low-rating user.

Thus, the problem of creating a self-tuning interactive system for exchanging comments between users on web pages, as well as a method that implements the functions of this system using client-server technology, which would allow the assessment of interests and / or preferences of the target audience of users for automated provision of advertising content through user ratings, block the ability to provide comments on advertising content a user with a low rating.

The way out of this situation may be the creation of such a self-adjusting interactive system for exchanging comments between users on web pages using client-server technology, as well as a method that implements functions of this system that would allow the assessment of interests and / or preferences of the target audience of users for automated provision of advertising content through a user rating, to automatically block the possibility of providing a comment low-ranking advertising content.

Disclosure of invention

The technical result of the present invention is to create a method and a self-tuning interactive system for exchanging comments between users on web pages that provide: an assessment of the interests and / or preferences of at least one user, automated provision of advertising content based on user ratings, automated blocking of the provision of advertising comments low-rated user content.

This technical result is achieved due to the fact that a self-tuning interactive system for exchanging comments between users of at least one social network using client-server technology includes:

- an access module that provides user access to the said system in case of successful authentication;

- the module for creating a user profile associated with the access module, while the module for creating a user profile is intended to provide the user with a view:

- comments of other users and / or his own,

- the number of subscribers the user is subscribed to,

- information about the user, including at least the user name, user rating, which is the level of reliability of the user profile;

- a user device associated with the access module and the profile creation module, wherein the user device is intended for the user to enter information necessary for authentication on a social network, navigate at least one web page, enter user comments;

- a user profile reliability assessment module associated with a profile creation module and a user device, wherein the reliability assessment module is intended for:

- calculating a user’s rating, which shows the level of trust in the comments of that user,

- evaluation of thematic content of user comments, depending on the rating of users,

- assessing the interests and / or preferences of users, depending on the rating of users;

- selection of advertising content and its automated presentation to the user depending on the rating of the user and / or the estimated interests and / or preferences and / or thematic content of the user's comments;

- automated blocking the provision of comments on advertising content for at least one user with a lower rating if at least two other users with a higher rating mark the comments of the first user as not reliable and / or automated blocking the comments of a user of advertising content, if the user rating is less than the threshold value;

wherein the user rating includes at least the following: points received by the user for each comment, points for reporting a hazard,

points for the user's response to the question addressed to him,

points for a positive or negative rating by a user of another user's information,

points for the user sharing information with other users in a social network and referring to it in another social network,

points for indicating by the user that he likes another user;

- a user interest analysis module associated with a user profile reliability assessment module, a user device and a user profile creation module, wherein the user interest analysis module is intended for analyzing user profiles, analyzing data received from web pages, and this analysis includes collecting information about visitors to web pages, their preferences in choosing goods and / or services, an assessment of the target audience of visitors, while based on an analysis of the data received from the web pages, mod ul interests analysis of the user places advertising content on web pages and / or sends the collected information to the advertiser;

- a database associated with a user interest analysis module, a user profile reliability module and a profile creation module, the database is intended for storing user profiles, user visits to web pages, user comments, user ratings, data about preferences, user interests and target audience of web page users.

In the private version, web page ratings are assigned depending on the popularity of the data posted on the web pages among other users.

In another particular embodiment, said module for assessing the reliability of a user’s profile is configured to reduce the rating by a certain number of points if the comment of this user is marked as dangerous by at least three users with a higher rating.

In yet another particular embodiment, said user profile reliability assessment module is further configured to generate a list of users who have received warnings from other users, and after a user receives a certain number of warnings, the reliability assessment module blocks this user and provides a prohibition on this user commenting on any or page.

In another particular embodiment, said module for assessing the reliability of a user profile is configured to block the user on an ongoing basis in the event that he has a large number of warnings.

In another particular embodiment, said user profile reliability assessment module is additionally designed to automatically check comments for the presence of offensive words or expressions in them.

In another particular embodiment, the system further comprises a notification module associated with the user device and the database, wherein the notification module is intended to notify the user of new comments by other users, to notify about points put down by other users in response to the comments of this user, and is also intended to view the comments of other users with whom the user has the same interests.

In another particular embodiment, the said notification module notifies users of new comments by means of the corresponding comment icon, which becomes transparent when the web page is scrolled, and appears again if the user hovers over it or scrolls the web page up, while this icon comments displays the number of comments on a particular web page, and when you hover over an object on this web page, the number of comments on this object.

In another particular embodiment, said notification module notifies users of the appearance of new advertising content and / or advertising events, and this module is also configured to set auto-alerts with pre-configured parameters.

In another particular embodiment, the system further comprises a moderator user device and a supervisor user device configured to create comments on any web pages, rate web pages, and rating users.

In another particular embodiment, the system also comprises an advertiser’s user device configured to provide advertising content on web pages and / or configured to provide advertising content of only that category of users that satisfy the advertiser’s requirements and / or is capable of analyzing data collected about users of the data analysis module.

In another particular embodiment, the system further comprises a module for evaluating user commenting activity, and the user rating is further based on the level of user commenting activity.

In a particular embodiment, the advertising content provided and / or displayed on a web page is at least the following: audio content, video content, text content, image.

In another particular embodiment, said advertising content is presented on a web page as an opaque bubble or a transparent bubble with various images, by clicking on which the user can go to the advertiser's website page and / or to view the advertiser's advertising content (audio content, video content, text content, image).

In another private option, visit info! In the case of web pages, it contains at least the following: user identifier, age, gender, interests, social behavior, personal data, user profile, data about the computing platform used by the user, time zone, user screen resolution, connected plug-ins for the web browser , language, information about the user's operating system.

In another particular embodiment, information about visitors to web pages contains at least cookies, which can be used for at least the following: user authentication, storing personal preferences and user settings, tracking the status of a user's access session, statistics about users.

The technical result is also achieved due to the fact that the method of exchanging comments between users on web pages through a self-tuning interactive system for exchanging comments between users in at least one social network using client-server technology, the method includes the steps , where:

- through the user device, the user enters information for authentication, and in case of successful authentication, the access module provides user access to the said system;

- by means of the user device, the user is provided with navigation on at least one web page, input of his comments, while by means of the user profile creation module, the user profile is created, the user is provided with the user’s comments of other users and / or his own number of subscribers to which the user is subscribed, information about the user, including at least the user name, user rating, which is the level of reliability of the user profile A;

- using the user interest analysis module, they analyze user profiles, analyze data received from web pages, and this analysis includes collecting information about visitors to web pages, their preferences in choosing products and / or services, assessing the target audience of visitors, at the same time, based on the analysis of the data received from the web pages, the user’s interests analysis module places the advertising content on the web pages and / or sends the collected information to the advertiser;

- through the module for assessing the reliability of the user profile, carry out:

- Calculation of the user rating, which shows the level of trust in the comments of this user

- assessment of thematic content of user comments, depending on the rating of users,

- an assessment of the interests and / or preferences of users, depending on the rating of users;

- selection of advertising content and its automated presentation to the user depending on the rating of the user and / or the estimated interests and / or preferences and / or thematic content of the user's comments;

- an automated blocking of the ability to provide comments on advertising content for at least one user with a lower rating if at least two other users with a higher rating mark the comments of the first user as not reliable and / or an automated blocking of comments of the advertising user content if the user rating is less than a threshold value;

wherein the user rating includes at least the following: points received by the user for each comment, points for reporting a hazard,

points for the user's response to the question addressed to him,

points for a positive or negative rating by a user of another user's information,

points for the user sharing information with other users in a social network and referring to it in another social network,

points for the user indicating that he likes another user,

at the same time, the following is stored in the database: information about user profiles, histories of users visiting web pages, user comments, user ratings, data about preferences, interests of users and target audience of users of web pages;

- using the module for assessing the reliability of the user profile, block comments from at least one user with a low rating, if at least two other users with high ratings mark the comments of this user as unreliable or offensive.

In the private version, web page ratings are assigned depending on the popularity of the data posted on the web pages among other users.

In another particular embodiment, using the module for assessing the reliability of a user’s profile, they reduce the rating by a certain number of points if the comment of this user is marked as dangerous by at least three users with a higher rating.

In another particular embodiment, using the user profile reliability assessment module, a list of users who have received warnings from other users is additionally generated, and after the user receives a certain number of warnings, this user is blocked by the reliability assessment module and the user is prohibited from commenting on which user any pages.

In another particular embodiment, using the user profile reliability assessment module, the user is blocked on an ongoing basis, in case he has a large number of warnings.

In another particular embodiment, using the module for assessing the reliability of a user’s profile, comments are automatically automatically checked for the presence of offensive words or expressions in them.

In another particular embodiment, using the notification module, they notify the user about new comments of other users, about points put by other users in response to the comments of this user, and also provide the user with the opportunity to view the comments of other users with whom he has interests.

In another particular embodiment, using the aforementioned notification module, users are notified about the appearance of new advertising content and / or advertising events, and this module is also configured to set up automatic alerts with configured parameters.

In another particular embodiment, the moderator’s user device and supervisor’s user device are configured to comment on any web pages, rate web pages, and rating users.

In another particular embodiment, the advertiser’s user device is configured to provide advertising content on web pages and / or is configured to provide advertising content of only that category of users that satisfy the advertiser’s requirements and / or is configured to analyze data collected about users by the analysis module data.

In another particular embodiment, the user rating is further based on the level of user commenting activity.

In yet another particular embodiment, the advertising content provided and / or displayed on a web page is at least the following: audio content, video content, text content, image.

In another one particular embodiment, said advertising content is presented on a web page as an opaque bubble or a transparent bubble.

In another particular embodiment, information about visitors to web pages contains at least the following: user ID, age, gender, interests, social behavior, personal data, user profile, data about the computing platform used by the user, time zone, user screen resolution , connected plug-ins for a web browser, language, user operating system information.

In another particular embodiment, information about visitors to web pages contains at least cookies, which can be used for at least the following: authenticating users, storing personal preferences and user settings, tracking the status of a user's access session, maintaining statistics about users.

The technical result is also achieved due to the fact that the computer-readable storage medium containing computer-readable instructions that, when executed, implement the steps of the above methods.

Brief Description of the Drawings

The essence of the claimed group of inventions is illustrated by drawings, where:

in FIG. 1 shows a structural diagram of the claimed system according to an independent clause;

in FIG. 2 shows a structural diagram of the claimed system containing additional modules;

in FIG. 3 shows the sequence of steps of the claimed method according to an independent clause;

in FIG. 4, FIG. Figure 5 shows a graphical representation of the comment icon in the right corner of the browser, as well as a representation of the small Renteres symbol icon at the end of the URL in the browser panel;

in FIG. 6, FIG. 7 comment icon is displayed;

in FIG. Figure 8 shows approximate options for Renteres windows in case the user clicks on the icon or comment bubble:

in FIG. 9, FIG. 10 shows exemplary options for creating an account in the system;

in FIG. 11 shows exemplary options for windows displaying user comments on a web page, while the user has the opportunity to add his own comment. And also, the user can edit his profile, and can also exit;

in FIG. 12 shows an exemplary version of a system screen containing a user profile interface, the number of people following the user, the number of people followed by the user, user rating, basic user information — image, name, nickname;

in FIG. 13 shows the profile editing options: changing personal data, images, name, status, etc .;

in FIG. Figure 14 shows exemplary system screens containing user subscribers and user subscriptions.

in FIG. 15 shows the ability to subscribe to another user you like, as well as the ability to read this user, view his subscribers and subscriptions;

in FIG. 16 shows an example version of calculating a user rating in the Renteres system;

in FIG. 17, FIG. 18 shows exemplary schemes for collecting information about website users and identifying these users;

in FIG. 19, FIG. 20 shows examples of providing contextual advertising to a user.

Description of Embodiments

Below will be a description of exemplary variants of the claimed invention with reference to the drawings. However, the present invention is not limited to these embodiments only. It will be apparent to those skilled in the art that other variations fall within the scope of the claimed group of inventions described in the claims.

As shown in FIG. 1, the claimed system comprises an access module 1, a user profile creation module 2, a user device 3, a user profile reliability assessment module 4, a user interest analysis module 5, a database 6. In this case, the user device 3 is connected to the access module 1, the profile creation module 2, a user interest analysis module 5 and a user profile reliability assessment module 4. A profile 2 creation module is further connected to an access module 2, a user interest analysis module 5, a reliability assessment module STI user profile database 4 and 6. The module reliability evaluation user profile 4 is further connected to the user's interests analysis module 5 and a database 6. The user interest analysis module 5 is further connected with a database 6.

Additionally, as shown in FIG. 2, the claimed system comprises a user device of a supervisor 8, a user device of a moderator 9 and a user device of an advertiser 10, each of which is associated with a module for creating a user profile 2, a database 6, a user device 3 and a module for assessing the reliability of the user profile 4. The system also further comprises the notification module 7, which is connected to the database 6 and the user device 3.

The claimed system works with 3 user devices, such as desktop computers, laptops, netbooks, personal assistants, which can work with various web browsers, for example, such as Chrome, Opera, Firefox, IE, Safari. This system can also work with user devices, such as smartphones and computers with operating systems IOS and ANDROID, WINDOWS, etc.

The user can have a registration and account in one or more social networks, for example, such as Odnoklassniki, Facebook, Twitter, VKontakte, etc. The user can be registered in all social networks and have his own profile. In these networks, each user can be a member of one or more groups, can create his own group, communicate with other users. All users can comment and view comments on any web page on the Internet, both with permission and without obtaining the appropriate permission of the moderator of the web pages and / or websites viewed by the user, as well as make comments, for example, to photos, videos, music, etc. .d. other users.

If the user does not have an account in the above social networks, then he must register using access module 1. (in this case, for his successful authentication, his email address, etc. can be used). In this case, after user registration, the module for creating profile 2 of the claimed system creates the corresponding user profile. The module for creating user profile 2 is associated with access module 1 and is intended to provide the user with a view: comments of other users and / or his own, the number of subscribers the user is subscribed to, information about the user, including at least the user name, user rating, representing the level of reliability of the user profile. The user profile contains information about the user: name, avatar, user rating, which includes an assessment of the reliability of the user profile. A user profile can also store a list of social networks in which a given user is registered, his preferences, a list of friends of this user, information about groups in which this user is a member, etc.

Entrance to the claimed system is carried out in a quick and convenient way. To do this, the user must log in from his user device 3 into one or more social networks, which automatically provides access to the claimed system. Access module 1 provides user authentication. Authentication can be carried out by any methods known in the art, for example, by login and password.

After successful authentication, the user profile creation module 2 creates a user profile. The user profile is intended to provide the user with the view: comments of other users and / or his own, the number of subscribers the user is following, information about the user, including at least the user name, user rating, which is the level of reliability of the user profile.

After entering the system, the user is given the opportunity to visit to browse, scroll (scroll) various web pages. The user can also comment on any web pages, rate web pages and users. To comment on web pages or visit web pages, the user can use the keys on the keyboard of his user device, or the mouse, etc.

If the user has an account on social networks, then the claimed system can connect not only to his friends contained in the user’s profile, but also to other users who are not his friends. The system also allows you to communicate with users of social networks not by name, but by circle of interests, allowing the user to correspond with them (for example, fans of a Mercedes car, etc.). Using this system for a smartphone or computer using social networks, the user can leave any comment on a topic of interest to that circle of users who are interested in this topic.

The system has a module for evaluating the reliability of user profile 4, associated with the module for creating a user profile 2 and user device 3. The module for evaluating the reliability of user profile 4 calculates the user rating, evaluates thematic content of user comments and posts, depending on the rating of users and / or personal preferences users, selectively displays for users certain comments, posts, information about goods and / or services, based on the aforementioned assessment, and also blocks the possibility of commenting on users, depending on various parameters, which are discussed in detail below. User rating shows the level of trust in the user's comments. The system, using the module for assessing the reliability of user profile 4, generates an R rating for each user (see Fig. 16), which allows you to determine the trust and seriousness of the comments of this user. The purpose of creating a user rating is to determine its reliability.

The user rating R is obtained based on at least the following:

points received by the user for each comment, points for reporting a danger,

points for the user's response to the question addressed to him,

points for a positive or negative rating by a user of another user's information,

points for the user sharing information with other users in a social network and referring to it in another social network,

points for indicating by the user that he likes another user

The specialist is clear that the rating may additionally include other estimates of user actions.

In the particular case, the user rating R can be determined by the following formula:

R = C + F + RE + L + U + S + FR, where:

R (RAITING) - rating showing the level of users, i.e. its reliability, activity, etc.

C (GIVE COMMENTS) - points assigned to the user if he went to his web page or the web page of another user, and answered the comments of other users or left his review (comment), etc. For example, Alice entered the Odnoklassniki social network or Facebook, after which she uploaded information about the recipe for one salad. Alice's friends or other users who are not Alice's friends left their comments on this recipe. Alice can answer one of the comments that interested her, or all comments. For each review or comment to this user, i.e. Alice, the system assigns, for example, 2 points. It should be noted that a different number of points for the same actions may be assigned. The system assigns such a number of points or a different number of points to each user who left a comment on the information of another user, i.e. on Alice’s note with a salad recipe.

F (Flag) - points assigned to the user for reporting a danger or problem. For example, a 14-year-old girl Alice comes in and sees that another user Boris wrote that she is fat. This message is regarded as bad and dangerous. If Alice herself or another user, for example, Oksana, Alice's friend, sets a flag that the message is dangerous and informs the administrator about it, then the user who left this flag, i.e. Alice or Oksana, for example, gets eight points only if the other two users report the same violation, for example, other users of Sveta and Ivan, who can be Alice's friends.

At the user, i.e. Boris, whose comment is flagged to indicate that the message is incorrect and dangerous, by more than two users, the rating is reduced by a certain number of points. In the private version, 15 points are deducted, i.e. a fine is given and a warning is issued to him. It should be noted that a different number of points can be deducted. The above balls are given as an example only.

RE (recoment) - points for the fact that the user gave an answer to a specific question addressed to him. For example, user Alice asked another user, Ivan, “Would he like to go to the museum on Tuesday next week?” Ivan answered this question "I can’t, I'm busy at work." For the response left to the user, i.e. Ivan, is awarded, for example, 2 points. It should be noted that any other number of points than the above may be awarded.

L (like) - the number of points for the fact that the user rated the information of another user positively. For example, user Oksana posted on her web page a photo with her friends, taken to her while walking with friends in the park. Her friend Alice liked this photo, and she put, for example, a like icon (like) on this photo. For this action, the user Alice is added, for example, 5 points. It should be noted that a different number of points may be added. The above balls are given as an example only. Thus, the system each time adds a certain number of points to the user whose comment received positive feedback.

U (unlike) - the number of points for the fact that the user rated the information of another user negatively. For example, Alice posted a photo from a party. However, Oksana did not like this photo. She gives a negative comment or puts an unlike icon. For this, the system subtracts, for example, 1 point to the user who received a negative review, i.e. Alice.

S (Share) - the number of points for the fact that the user shared information in one of the social networks and refers to it in another social network. For example, Alice shared information about a quarter in the Renteres system and then refers to it in another system, for example, VKontakte. Then users of another system can see this information posted on Renteres. For this action the user, i.e. Alice, added, for example, 10 points. It should be noted that a different number of points may be awarded. The above figure is given as an example.

FR (follow renteres) - the number of points for indicating that the user likes another user, while he can follow his comments. For example, Alice likes Ivan, she notes this on his web page. Now she can track Ivan’s web page and watch his web page, downloadable content, such as photos, videos, etc. For this action, user Alice receives three points. Such a number of points can be awarded to the user who is being watched, i.e. To Ivan.

It should be noted that from the moment of registration, each user receives points, which are determined by the frequent use of the system by the user, which means the more the user will use the capabilities of the claimed system (comments, like / dislike buttons, report dangerous and offensive comments and etc.), the greater the reliability of this user. For example, a user leaving a message on the network receives 2 points, which are added to his rating. Each user can receive a total of, for example, 100 points when receiving an account.

The user interests analysis module 5 of the claimed system analyzes the user’s interests of web pages and user accounts. This module analyzes the pages of visiting websites and determines the web page itself, on which the user viewed and / or browsed links on websites. This determination is based on the URL and / or any other element that the developer of this system automatically selects. The analysis of web pages includes an assessment of the popularity of the data posted on the websites among other users, as well as rating the web pages, depending on the number of positive responses about the goods or services offered on these websites.

By means of the aforementioned module for analyzing the interests of the user 5, the popularity rating of the goods and / or services and / or news presented on the websites is also carried out, depending on the aforementioned website rating, and depending on the user rating. And also, the user interests analysis module 5 selectively displays and groups advertising content containing at least comments, posts, thematic data posted on websites based on at least personal preferences and / or interests of users.

In the system, database 6 stores at least user profiles, user visits to web pages, user comments, user ratings, preference data, user interests, data characterizing preferences, interests of the target audience of web page users. It should be noted that information about user activity is stored in database 6 even if the user visits the website without leaving comments.

The notification module 7 notifies users of new comments by other users, of the points put by other users, in response to the comments of this user, and also provides the user with the possibility to view the comments of other users with which he has interests. This module 7 provides users with alerts about new comments by other users, alerts about various marks such as, for example, “like”, “dislike”, in response to user comments on the interests chosen for him. The notification module 7 gives the user the opportunity to see specific comments of other users who have visited this Gili website given page of the site), as well as online using the messenger of the downloaded program to communicate with other users. In addition, any information left by the user in the messenger of the downloaded program allows other users to read it at any time. Thus, the system allows the user to get specific answers to any questions posed by him.

The notification module 7 also notifies users of the appearance of new advertising content and / or advertising events. There is also the possibility of installing auto-alerts with pre-configured parameters for this notification module 7.

It should be noted that the comments left by the user are not on the website with which they are associated, but are located in the database 6 of the claimed system. Consequently, the website moderator can in no way affect the control of messages left, cannot delete and correct them. The system also provides that the user can leave options for assessing the quality of goods and services provided by various suppliers, for example, online stores, on various pages of the website, using rating options such as: Like, Dislike, Share, etc. d.

The user does not have to be at a specific location on the website to comment and share their opinions. To do this, he, with his personal account, needs to connect to the system and view everything that is interesting to him there. At the same time, regardless of the owners of the website, the user can leave comments and share their thoughts on the platform of this system.

Now will be described the sequence of operation of the claimed system, which corresponds to the steps of the claimed method.

As shown in FIG. 3 and previously mentioned with reference to FIG. 1, the user first goes through the authentication phase in the social network (step 1, FIG. 3). To do this, the user using the user device 3 enters his username and password to enter one of the social networks. If the user does not have registration in the social network, then he must go through the registration stage (not shown in Fig. 3).

In case of successful authentication in the social network, access module 1 provides user access to the comment exchange system (step 2 in Fig. 3). After successful authentication, the user gets to his web page or to another web page that the user selected. While on his own web page or another web page (step 3 in FIG. 3), the user can visit and view other web pages, enter his comments on the web pages of other users or the web pages of suppliers of goods or services, if He was interested in certain content, videos, photographs or any discussion, for example, on a forum. The user can also view comments of other users, view subscriptions and subscribers.

While online, the user interest analysis module 5 constantly analyzes the web pages of interest to each user, objects (content, comments, etc.) posted on these web pages, user accounts (step 4 in Fig. 3). Also, the user profile reliability assessment module 4 calculates the rating of each user, which shows the level of confidence in the comments of this user (step 5 in Fig. 3). The rating calculation method is described in detail above. Based on the calculated rating, the reliability of each user’s profile is determined. Based on the rating received, module 4 can block the comments of a user with a low rating if at least one user with a high rating marks the comments of this user as unreliable or offensive (step 6 in Fig. 3).

The method described above will be illustrated in more detail with a specific example. The user Liron1985, as shown in FIG. 9, 10, logs in by entering your username or password. After that, this user gets to his web page, where he can perform various actions. In FIG. 11, FIG. 12 shows some of the features of the Liron1985 user in the system. He can leave comments, view comments of other users, see the number of comments on his posts, see the number of his subscribers, and the number of people who follow him (Fig. 14, Fig. 15).

In FIG. Figure 16 shows an example of the Liron1985 user interface, which allows the Liron1985 to see the number of users that are following it, the number of users that it is following, the number of messages that user has received, the total number of comments from Liron1985.

The user Liron1985, when he first logs in, is awarded, for example, 100 rating points. Further, this user can increase or decrease his rating.

For example, a user Liron1985 gets 2 points to his rating, if he leaves a comment, gets 5 points to his rating if he likes a user, gets 10 points if he shares information with another user. All these charges are carried out by the user reliability assessment module 4.

As an example, consider a case where a user of Liron1l985, while navigating through the pages of social networks, went to his car-related website. On this website, Liron1985 left 10 comments, with answers to various questions, thereby adding another 20 points to his rating of 100 points. Also, Liron1985 made a repost with a link to the website he liked about automobile topics on the social network VKontakte, thereby earning another 10 points to his rating. The user Liron1985 on the car website subscribed to Alex user updates and liked his comments, having received, thereby, 10 more points to his rating.

User Alex, being a user of this system for about a month, has a rating of about 5500 points. Alex is one of the moderator of the system. He follows the comments of other users, especially "newbies", such as Liron1985. After reviewing the comments and user profile of Liron1985, the user Alex subscribed to the "newbie" updates and liked him, thereby receiving another 10 points.

While navigating the web pages, our "newcomer" Liron1985, went to the website dedicated to the remote selection of clothes, where Internet users can buy clothes selected for them. Liron1985 goes to the web pages of this website, which contains photographs of women in clothing sold on this website, and leaves one comment for Helen and one comment for Rita. The comments contain information that the clothes in which the women are placed in the photographs are full of them. And also, Liron1985 puts ten “dislike” marks on Helen’s photo, five “dislike” marks on Rita’s photo. Further, moderators Alex and Tony, with a rating of more than 5000 points, flag these messages and view them. Moderators Alex and Tony acknowledged two comments flagged as dangerous by the flags, and the rating of Liron1985 decreased by another 30 points. Liron1985 receives 17 warnings from moderators Alex and Tony, and also loses 15 rating points for “dislike” marks. Thus, “thanks to” his actions, the Liron1985 user has already lost 45 rating points, and now his rating is 85 points. If this user continues to leave messages of negative and dangerous content, then his rating may drop to an even lower value, and he will receive even more warnings. After a user’s rating falls below, for example, 30 points, and the number of warnings he reaches, for example, 150, the system, and, in particular, the user profile reliability module 4 will block Liron1985 and he will also be prohibited from commenting any web pages. At the same time, at least a moderator Alex, with a high rating, will be able to decide on blocking the user Liron1985. It will be apparent to those skilled in the art that locking can be performed not only after being indicated by one or two users, but also after being indicated by any large number of users.

When the number of warnings for the Liron1985 user is greater, for example, 200, the system will block him permanently.

The system checks all comments for the presence of offensive words, words with profanity, swearing and swear words. This check is carried out on the basis of the dictionary available in the system, database 6, which are continuously updated.

The method of exchanging messages in the system additionally provides for the possibility for users to comment on the selection of certain goods or services presented on web pages.

For example, a Helen user often visits a website that provides an electronic version of a catalog of clothing as well as home goods. On this website, the user has the opportunity to select products according to many parameters: size, color, style, style, etc. User Helen has a rating of about 300 points, she has 10 subscribers and she is subscribed to 150 users on a clothing selection website. Helen, navigating the website with a selection of clothes, leaves comments on certain articles of jumpers, blouses, skirts, children's goods. For example, Helen liked the jumpsuit, and she leaves a positive comment about it, and likes the user Rita, who posted a photo of her daughter in the jumpsuit. For this, the system increases the Helen user rating by 4 points. Now, Helen wants to share a photo of Rita on Odnoklassniki social network, and gets another 10 points for such a repost. Thus, thanks to reviews of specific products, the system has the ability to prompt users when choosing a product. At the same time, the selection and evaluation of a product or service by one or another user will be controlled by other users with high confidence ratings.

In this system, through the module for assessing the reliability of user profile 4, the following features are additionally implemented: assessment of thematic content, user comments and posts, depending on the user's rating and / or personal preferences of users, selective display for users of certain comments, posts, information about goods and / or services, based on the aforementioned rating, block user comments for the rated thematic content, if the user rating is less than traction values. Thus, the system evaluates whether comments, thematic content, user posts are professional or not, depending on the user's rating.

We will show these possibilities on a concrete example. For example, the system has several moderators with a high rating, more than 5000, Alex and Tony. Moreover, Alex visits more themed web pages related to cars, and the user Tony, is fond of fishing, and visits web pages with this theme. Since these users have proven themselves in their favorite thematic websites, then, of course, they are professionals in them, and their comments can be trusted. These users can also evaluate one or another thematic content. For example, the user Alex leaves comments about a particular website, according to its professional topics, and this opinion can be trusted. User Alex can check, evaluate, block the comments of other users, in his theme, “cars”, and user Tony can carry out all the same actions with user comments in the subject of “fishing”. The user Liron1985, who is a "beginner" in the themes of "cars", "fishing", enters the system. His comments and ratings are closely monitored by Alex and Tony. Liron1985 entered the system and got 2 points to its rating. Further, Liron1985 visits automotive related websites, leaving comments there. But, since his rating is still small, his comments are not professional. And also, if the “behavior” of the user Liron1985, when commenting on thematic websites, leads him to the fact that his rating drops below the threshold value of 25 points, then his further comments on this or that thematic content will be blocked by the system. However, the opposite situation is also possible, with increasing the rating of a given user, the credibility of moderators in this topic will increase to his comments, posts on a particular topic, and therefore the trust of other users.

In the system, it is possible to selectively display for a user, for example, Liron1985 certain posts, for example, about travel services of interest to him, related to traveling around the world, based on the assessment of this thematic content, for example, by users Alex and Bob, having ratings of 6600 and 7400 points in this subject. This selective display of posts, comments of other users and / or thematic content may be based at least on the personal preferences of the user Liron1985. For example, Liron1985 prefers traveling in Russia by bus rather than by rail, indicating these criteria when displaying this thematic content, Liron1985 will receive preferred information about trips that are of interest and suitable to it, including this information can be provided in the form advertising content.

The system allows grouping when displaying thematic content containing at least news for a specific user, for example, Helen, based on at least the rating of users who are moderators, Alex and Bob, the rating of the website, the date of registration of users Alex and Bob, the number of positive feedbacks left for this news by Alex and Bob users, based on the availability of photo and video data riveted to certain comments of Alex and Bob users about this news. For example, a Helen user is interested in news content published over the previous month that relates specifically to a specific region of the location, and the mandatory criteria for displaying such content are the presence of photographs and the high rating of the thematic news website.

Thus, the system allows any Internet user to keep abreast of the latest events and view comments of active Internet users on a user-defined topic. The capabilities of this system allow a user who is interested in a particular news, information or article on the site to maintain constant online contact with other users.

The interest analysis module 5 in the system is additionally configured to collect statistical information including at least information on the number of comments left by users in relation to goods and / or services, thematic content. It is also possible to collect extended statistical information, including at least information about in which age categories certain products and / or services are popular, thematic content, information about which regions in a country and / or countries prefer certain goods and / or services.

For example, in the age category of users from 18 to 25 years old, the most popular areas for search queries on the Internet are topics related to the field of education, science, it can be various term papers, settlement and graphic works, materials for preparing for exams. These thematic requests may differ, depending on the direction of specializations of future specialists, whether they are technical sciences, medical, philosophical, etc. After analyzing this information, the system can form the interests inherent in one or another target audience in order to provide contextual advertising to the target audience based on at least the thematic requests.

Tony is interested in physics coursework. Having entered the search system, he enters search queries related, for example, to a specific section of physics - “thermodynamics”. He is given a huge number of sites on this subject. The system is built in such a way that when you click on the program icon, a comment window pops up for other users on this topic, but made by them on this and other pages of websites. Using the system, a Tony user can sort the comments in the bookmark last comments by some criterion, and can also bookmark, for example, “term papers in thermodynamics” and the system will collect all user comments from all pages of various sites on the Internet that relate to the specified user threads. The system generates user reviews made on various websites regarding term papers on thermodynamics, and groups them for the user in a form convenient for him. As a result of this, the Tony user is given the opportunity to read reviews of other users on a topic of interest to him and go directly from the system to that specific object on the site that another user commented on.

Another example of the convenience of using the system is the following. For example, a trusted user, Kate, commented on a bicycle model that was featured on a bike-related website. After reading this news, our Liron1985 user can view this page of the site with the object of interest to him, without using other search engines. All he needs to do is just click on the link to the site in the system that another user commented on, such as Kate. Thus, each Internet user can significantly reduce the time spent searching for a particular product and / or information by studying the opinions of other users made on different sites on the product and / or information of interest to the user. Each Internet user is given the opportunity - not only to form communication with other users, grouped by interests, but also to choose the product he needs, having studied the opinions of other users. When visiting any sites, the system allows any Internet user to bookmark the system’s pop-up window on any topic of interest to him, while the notification system will accompany the user while browsing any pages and notify him of new subscribers, comments, ratings, etc.

The method of exchanging messages in the system also includes the ability to promote websites in search engines by evaluating user comments on goods and services on these websites. This function of the system is implemented through the module for analyzing the interests of users 5, and is expressed in a direct connection between the number of positive comments about goods or services presented on websites and its rating in search engines.

Let us consider this function of the system as an example. The rating of websites in the system depends on user comments on products or services posted on these websites. For example, a Helen user, whose rating in the system is 400 points, navigates through websites while browsing several websites, united by the topic “women's clothing”. For Helen, the predominant criteria for choosing a website for remote clothing orders are free delivery of goods at a reasonable price. For these two important parameters for her, two websites came up to her. She leaves positive comments on these two websites in which she gives her opinion about the products, as well as why she makes the choice in favor of these two websites. At the same time, the system stores the URL of these two websites with the theme of “women's clothing”, associating them with positive user comments. And also, several other users, Rita, Kate, also opt for these two mentioned websites to order clothes over the Internet. And thus, the rating of these websites increases. And when a user forms a search query in a search engine containing the phrases “women's clothing is inexpensive”, “women's clothing with free delivery”, the user is provided with the selected Helen websites, i.e. they are displayed “higher” than the rest because they have a higher rating.

Similarly, you can consider the provision of certain services over the Internet. For example, a user of Rita, navigating the Internet, accesses a search engine using approximate queries: “providing hairdressing services at home”, “cutting your hair cheap in Moscow”, “good inexpensive hairdresser”. As a result of such a search, she will receive websites with high trust ratings based on positive feedback from users, for example, on the quality of work of hairdressers, the cost of their services, etc. This feature allows you to sort websites on the basis of people's comments, their experience, which is an informative and objective criterion for choosing a particular service.

Thus, the system allows you to display in the TOP websites with a large number of positive comments about the goods or services posted on them.

Another way to promote websites is to place contextual advertising on them. The system also has features aimed at providing advertising content. As shown in FIG. 17, FIG. 18, any website has its own audience of visitors. Our system, through analysis module 5, has the ability to collect information about all visitors, this information can be understood as at least the following: user ID, age, gender, interests, social behavior, personal data, user profile, data about the user’s computing platform, time zone, user screen resolution, connected plug-ins for a web browser, language, information about the user's operating system. The system also allows collecting information about visitors to web pages by analyzing cookies, which can be used for at least the following: authenticating users, storing personal preferences and user settings, tracking the status of a user’s access session, and maintaining statistics about users. In FIG. 18, in particular, a fingerprint authentication procedure is shown. All the above collected information about visitors to any websites is stored in database 6.

By analyzing the above data about users, the system generates an assessment of the target audience of website visitors, and based on this assessment, one or another advertising content can be presented for a particular target audience.

In FIG. 19, FIG. 20 illustrates examples of providing contextual advertising to a user. Such advertising can be presented in our system, for example, using a user device, after analyzing, for example, a user’s rating by a user profile reliability assessment module 4 and / or analyzing a user's interests by a user interest analysis module 5. The contextual advertising mentioned in this disclosure is understood in broadly, it is advertising content that, as shown in FIG. 19 may be at least audio content, video content, text content, image. When providing the user with advertising content, the system has the ability to notify about this event through the notification module 7. At the same time, the user himself can configure the type, sequence and other parameters of such notifications.

As shown in FIG. 20, the advertising content can be presented to the user in the form of a small opaque or transparent bubble, when you click on such a bubble, a window of any size containing advertising content is opened, but the user does not leave the page of the site, i.e. Advertising content is presented to the user on top of any website. For example, on the web page of website A, an advertising bubble of another website B is installed. When a user clicks on this bubble, a visitor will see an advertisement of website B on top of website A. The user of the system can also adjust the transparency of the bubble or delete him.

The system, through the module for assessing the reliability of user profile 4, additionally implements the following features: selection of advertising content and its automated presentation to the user depending on its rating and / or evaluated interests and / or preferences and / or thematic content of user comments, automated blocking of the possibility of providing comments of advertising content for at least one user with a lower rating if at least two other users with more Higher ratings mark comments of the first user as not reliable and / or automated blocking of user comments of advertising content if the user rating is less than the threshold value. Thus, the system implements the ability to control the provision of advertising content to users, depending on the user's rating and / or interests and / or preferences and / or thematic content of user comments.

We will show these possibilities with examples. User Anton, 20 years old, having a rating in the system of 15,000 points, has the following interests: computer programs for image processing, web design, cars, aquarium fish. At the same time, most often Anton carries out comments on topics related to politics and cars. Since the rating of this user is high, you can trust his comments, reviews and other feedback in the areas of his interests. Based on the analyzed data on the rating of the Anton user, interests, preferences, topics of comments, the system provides the user Anton with advertising content containing at least images containing offers to buy a car, to buy aquarium fish called Astronotus. Our user Anton can turn off pop-up advertising alerts or, for example, configure alerts about them at his discretion using the notification module 7 of our system. Anton user can evaluate the advertising content provided by the system, like him, leave a comment, repost the content to his friends, etc. Thus, the system has the ability to objectively evaluate the submitted advertising content, depending on the rating of the user.

Consider another example of providing advertising content. User Andrew, aged 29, with a rating of 3000 points, is interested in foreign cars of the 80s, likes to watch videos on some site A, enjoys photographing. Our system selected the following types of advertising content for Andrew: video advertising in the form of a promotional video with types of Ford cars of the 80s of the 20th century, advertising content in the form of an image with a proposal to open your video blog on a certain site B. Additionally, it should be noted that as Andrew’s user has new preferences and / or interests and / or topics that he comments more often, the system reviews advertising content and provides more relevant advertising content suitable for new parameters.

In case of deterioration of the user rating, the system has the ability to automatically block the ability to provide comments on advertising content to a user with a low rating. We show this opportunity by example.

Each user in the system has the ability to leave comments on any content that interests him, as long as the user rating remains within the limits set by the system. In particular, users can comment on a particular advertising content. At the same time, such a relationship between the user rating and the ability to leave comments about advertising content can improve the accuracy of the evaluation and provision of advertising content.

Tony users with a rating of 10,000 points and Andrew with a rating of 3,000 points follow the newcomer, a user of Liron1985, whose rating is 300 points. The user of Liron1985 is interested in boxing, chess, photography, and often comments on posts and advertising content on these topics. By going to a website that discusses photography techniques, Liron1985 leaves a few negative ratings for Kate with a rating of 500, who is also interested in photography. Users of Tony, Andrew notice that they do not agree with this assessment and, transmitting data about it to the system, the user of Liron1985's rating is reduced due to negative reviews of his comments in the subject related to the photo case. Further, a warning is issued to the Liron1985 user that his rating is decreasing, for example, by 5 points for each negative review. The system will automatically block for the Liron1985 user the ability to comment on posts and / or advertising content on the topic of the photo, in the case when at least two other users with high ratings marked Liron1985 comments as unreliable. Or, when the rating of Liron1985 becomes less than the threshold value, for example, less than 100 points, it will not be able to comment on posts and / or advertising content on this topic, i.e. the system will automatically block his opportunity.

If the user Liron1985 becomes a trusted user with a high rating and you can trust his comments in the topics of interest, he will again have the opportunity to comment on any advertising content, or maybe he will be able to follow users with a lower rating so that the system automatically blocks such users the ability to comment on advertising content.

The system has the ability to automatically block the ability to comment on advertising content in the event that the user rating falls below a threshold value. This threshold value can be set by the system or by trusted users with high ratings. For example, a Helen user with a rating of 18,000 points follows novice users Kim and Mike, with a rating of 100 and 200 points, respectively. The user Mike, while working with the system, gradually raises his rating and gets the opportunity to leave comments under this or that advertising content, at the same time, the user Kim, on the contrary, lowers his rating. When the rating of Kim’s user becomes less than 10 points, such a threshold was set by Helen to comment on advertising content related to computers, the system automatically blocks further commenting on Kim’s content for Kim.

Let’s give another example of the presentation of advertising content. In the case when a new user has just logged into the system, and the system has no data either on the rating of the user, nor on his interests, preferences, until he also left a single comment, the system has the ability to provide advertising content based on any data specified in the user profile. Such data may be, for example, gender, age, location, user's operating system, etc. The analysis of user profile data with the further provision of advertising content can be carried out, for example, by an advertiser.

Embodiments of the present invention may be implemented using software, hardware, software logic, or a combination thereof. In an embodiment, program logic, software, or a set of instructions are stored on one of various traditional computer-readable media. In the context of this document, a “machine-readable medium” may be any medium or means that may contain, store, transmit, distribute or transport instructions for use by an instruction execution system, equipment or device, such as a computer. A computer-readable medium may include a non-volatile computer-readable medium, which may be any medium or means containing or storing instructions for use by, or for use in connection with, an instruction execution system, equipment or device, such as a computer.

In one embodiment, a circuit or user interface circuit may be provided that is configured to provide at least some of the control functions described above.

If necessary, at least part of the various functions discussed in this description can be performed in a different order than that presented and / or simultaneously with each other. In addition, if necessary, one or more of the functions described above may be optional or may be combined.

Although various aspects of the present invention are described in the independent claims, other aspects of the invention include other combinations of features from the described embodiments and / or dependent claims in conjunction with features of the independent claims, and the combinations are not necessarily explicitly stated in the claims.

Claims (71)

1. An interactive system for presenting advertising content using client-server technology, including: - an access module that provides user access to the said system in case of successful authentication; - the module for creating a user profile associated with the access module, while the module for creating a user profile is intended to provide the user with a view: - comments of other users and / or his own, - the number of subscribers the user is subscribed to, - information about the user, including at least the user name, user rating, which is the level of reliability of the user profile; - a user device associated with the access module and the profile creation module, wherein the user device is intended for the user to enter information necessary for authentication on a social network, navigate at least one web page, enter user comments; - a user profile reliability assessment module associated with a profile creation module and a user device, wherein the reliability assessment module is intended for: - calculating a user’s rating, which shows the level of trust in the comments of this user - assessment of thematic content of user comments depending on the rating of users, - assessing the interests and / or preferences of users depending on the rating of users; - selection of advertising content and its automated presentation to the user depending on the rating of the user, and / or evaluated interests, and / or preferences, and / or thematic content of user comments; - automated blocking of the ability to provide comments on advertising content for at least one user with a lower rating if at least one user with a higher rating marks the comments of the first user as unreliable, and / or automated blocking of comments of a user of advertising content if the user rating is less than a threshold value ; wherein the user rating includes at least the following: points received by the user for each comment, hazard reporting points, points for the user's response to the question addressed to him, points for a positive or negative rating by a user of another user's information, points for the user sharing information with other users in a social network and referring to it in another social network, points for indicating by the user that he likes another user; - a user interest analysis module associated with a user profile reliability assessment module, a user device and a user profile creation module, wherein the user interest analysis module is intended for analyzing user profiles, analyzing data received from web pages, and this analysis includes collecting information about visitors to web pages, their preferences in choosing goods and / or services, an assessment of the target audience of visitors, while based on an analysis of the data received from the web pages, mod ul interests analysis of the user places advertising content on web pages and / or sends the collected information to the advertiser; - a database associated with the user’s interests analysis module, the user profile reliability module and the profile creation module, while the database is intended to store user profiles, user visits to web pages, user comments, user ratings and target audience of users of web pages. 2. The system according to claim 1, in which ratings of web pages are assigned depending on the popularity of the data posted on the web pages among other users. 3. The system of claim 2, wherein said module for assessing the reliability of a user profile is configured to reduce the rating by a certain number of points if the comment of that user is flagged as dangerous by at least three users with a higher rating. 4. The system of claim 3, wherein said user profile reliability assessment module is further configured to generate a list of users who have received warnings from other users, and after the user receives a certain number of warnings, the reliability assessment module blocks this user and provides a ban on Commenting by this user on any page. 5. The system of claim 4, wherein said module for assessing the reliability of a user profile is configured to lock the user on an ongoing basis if he has a large number of warnings. 6. The system of claim 5, wherein said module for assessing the reliability of a user profile is further intended to automatically check comments for offensive words or expressions. 7. The system of claim 6, further comprising a notification module associated with the user device and the database, wherein the notification module is intended to notify the user of new comments by other users, to notify about points put down by other users in response to the comments of this user, and It is also intended for viewing comments of other users with which the interests of the user coincide. 8. The system of claim 7, wherein said notification module notifies users of new comments by means of the corresponding comment icon, which becomes transparent when the web page is scrolled and reappears if the user hovers over it or scrolls the web page up, at the same time, this comment icon displays the number of comments on a specific web page, and when you hover over an object on this web page, the number of comments of this object. 9. The system according to claim 7, in which the said notification module notifies users of the appearance of new advertising content and / or advertising events, also this module is configured to set up automatic alerts with pre-configured parameters. 10. The system according to one of paragraphs. 1-9, further comprising a moderator user device and a supervisor user device, configured to create comments on any web pages, rate web pages, and rating users. 11. The system of claim 9, further comprising an advertiser’s user device configured to provide advertising content on web pages and / or configured to provide advertising content of only that category of users that satisfy the advertiser’s requirements and / or configured to analysis of data collected about users by the data analysis module. 12. The system of claim 11, further comprising a module for evaluating user commenting activity, wherein the user rating is further based on the level of user commenting activity. 13. The system of claim 12, wherein the advertising content provided and / or displayed on the web page is at least the following: audio content, video content, text content, image. 14. The system of claim 13, wherein said advertising content is presented on a web page as an opaque bubble or a transparent bubble. 15. The system of claim 14, wherein the information about visitors to web pages contains at least the following: user identifier, age, gender, interests, social behavior, personal data, user profile, data about the computing platform used by the user, time belt, user screen resolution, connected plug-ins for a web browser, language, information about the user's operating system. 16. The system of claim 14, wherein the information about visitors to web pages contains at least cookies that can be used for at least the following: authenticating users, storing personal preferences and user preferences, tracking session status user access, user statistics. 17. A method for exchanging comments between users on web pages by means of a self-tuning interactive system for exchanging comments between users in at least one social network using client-server technology, the method including the steps of: - through the user device, the user enters information for authentication, and in case of successful authentication, the access module provides user access to the said system; - through the user device, the user is provided with navigation on at least one web page, inputting his comments, while using the module for creating the user profile, the user profile is created, the user is provided with the user’s comments of other users and / or his own, the number of subscribers to which user, user information, including at least the user name, user rating, representing the level of reliability of the user profile I am; - using the user interest analysis module, they analyze user profiles, analyze data received from web pages, and this analysis includes collecting information about visitors to web pages, their preferences in choosing products and / or services, assessing the target audience of visitors, at the same time, based on the analysis of the data received from the web pages, the user’s interests analysis module places the advertising content on the web pages and / or sends the collected information to the advertiser; - through the module for assessing the reliability of the user profile carry out: - calculation of a user’s rating, which shows the level of trust in the comments of this user, - assessment of thematic content of user comments, depending on the rating of users, - an assessment of the interests and / or preferences of users depending on the rating of users; - selection of advertising content and its automated presentation to the user, depending on the user's rating, and / or evaluated interests, and / or preferences, and / or thematic content of user comments; - an automated blocking of the possibility of providing comments on advertising content for at least one user with a lower rating if at least two other users with a higher rating mark the comments of the first user as unreliable, and / or an automated blocking of comments of a user of advertising content if the user rating is less than the threshold Values wherein the user rating includes at least the following: points received by the user for each comment, hazard reporting points, points for the user's response to the question addressed to him, points for a positive or negative rating by a user of another user's information, points for the user sharing information with other users in a social network and referring to it in another social network, points for the user indicating that he likes another user, at the same time, the following is stored in the database: information about user profiles, histories of users visiting web pages, user comments, user ratings, data about preferences, interests of users and target audience of users of web pages; - with the help of the user profile reliability assessment module, comments of at least one user with a low rating are blocked if at least two other users with high ratings mark this user’s comments as unreliable or offensive. 18. The method according to p. 17, in which ratings of web pages are assigned depending on the popularity of the data posted on the web pages among other users. 19. The method according to p. 18, in which, using the module for assessing the reliability of the user's profile, the rating is reduced by a certain number of points if the comment of this user is marked as dangerous by at least three users with a higher rating. 20. The method according to p. 19, in which, using the user profile reliability assessment module, a list of users who have received warnings from other users is additionally generated, and after the user receives a certain number of warnings, the user is blocked by the reliability assessment module and provide a ban on this user from commenting on any page. 21. The method according to p. 20, in which, using the module for assessing the reliability of the user profile, block the user on an ongoing basis in the event that he has a large number of warnings. 22. The method according to p. 21, in which, using the module for assessing the reliability of the user profile, additionally automatically check the comments for the presence of offensive words or expressions. 23. The method according to p. 22, in which, using the notification module, notify the user about new comments of other users, about the points put by other users in response to the comments of this user, and also provide the user with the opportunity to view the comments of other users with whom interests coincide with him. 24. The method according to p. 23, in which, using the said notification module, users are notified of the appearance of new advertising content and / or advertising events, this module is also configured to set up automatic alerts with configured parameters. 25. The method according to one of paragraphs. 19-24, in which the user device of the moderator and the user device of the supervisor are configured to comment on any web pages, rate web pages, and rating users. 26. The method according to p. 24, in which the advertiser's user device is configured to provide advertising content on web pages, and / or is configured to provide advertising content only to that category of users who satisfy the advertiser’s requirements, and / or is configured to be analyzed data collected about users by the data analysis module. 27. The method of claim 26, wherein the user rating is further based on the user's commenting activity level. 28. The method of claim 26, wherein the advertising content provided and / or displayed on the web page is at least the following: audio content, video content, text content, image. 29. The method of claim 26, wherein said advertising content is presented on a web page as an opaque bubble or a transparent bubble. 30. The method according to p. 26, in which information about visitors to web pages contains at least the following: user ID, age, gender, interests, social behavior, personal data, user profile, data about the computing platform used by the user, time belt, user screen resolution, connected plug-ins for a web browser, language, information about the user's operating system. 31. The method according to p. 26, in which information about visitors to web pages contains at least cookies, which can be used for at least the following: authentication of users, storage of personal preferences and user settings, tracking session status user access, user statistics. 32. A computer-readable storage medium containing computer-readable instructions that, when executed, implement the steps of the method according to one of claims. 17-31.

Images