KR20070111276A - Music service provision method using music gene - Google Patents

Abstract

A method for providing a music service using a musical gene are provided to calculate a favorable impression degree to selected music by providing the selected music to a web page visitor. Musical gene information of a first user is extracted by using a predetermined analysis engine(120). A web page related to the first user is provided. The selected music is regenerated on the basis of the musical gene information when a predetermined event of a second user is sensed from the web page. A favorable impression degree to the first user is calculated according to a regenerating time of the selected music.

Description

Music service provision method using music gene {MEDHOD FOR PROVIDING MUSIC SERVICE USING MUSICAL GENE}

1 is a diagram illustrating a configuration of a system for executing a music service providing method according to an exemplary embodiment of the present invention.

2 is a flowchart illustrating a flow of extracting music gene information for a user using a predetermined analysis engine in a music service providing method according to an exemplary embodiment of the present invention.

3 is a diagram illustrating an example of a music map used to extract music gene information using a predetermined analysis engine in a music service providing method according to an embodiment of the present invention.

4 is a diagram illustrating an example of a music map used to extract music gene information using a predetermined analysis engine in a matrix form in a music service providing method according to an embodiment of the present invention.

5 is a diagram illustrating music gene information used in a music service providing method according to an embodiment of the present invention.

6 is a flowchart illustrating a flow of a music service providing method according to an embodiment of the present invention.

7 is a flowchart illustrating a flow of a music service providing method according to another embodiment of the present invention.

8 is a flowchart illustrating a flow of a music service providing method according to another embodiment of the present invention.

9 is a flowchart illustrating a flow of a music service providing method according to another embodiment of the present invention.

<Explanation of symbols for the main parts of the drawings>

110: music database

120: analysis engine

130: music gene information database

140: music genetic information management unit

150: music player

160: the user interface unit

The present invention relates to a music service providing method, and more particularly, to a music service providing method for providing a user with music or related services according to a user's taste through the Internet.

Recently, with the development of high-speed Internet communication network, the number of people using the Internet has increased, and accordingly, the number of people who want to make themselves known to other users by opening a web page such as a personal homepage, a blog or a cafe on the Internet. Users are informed and informed of other users by using text, images, videos, etc. on web pages such as personal homepages, blogs or cafes. In particular, with the recent development of music streaming services, more and more users are trying to set their background music on their web pages and listen to their favorite music to other users visiting their web pages.

However, according to the related art, in order for users to listen to their favorite music to other users who visit their web pages, they purchase the desired music from the Internet site that provides the web page, and then select a predetermined background music setting page. The purchased music had to be set as the background music of the web page. Therefore, there is an inconvenience of having to listen directly to each new music and select and set it as the background music.

In particular, recently, celebrities such as celebrities and politicians have used web pages such as personal homepages, blogs or cafes as a means of informing themselves. It is difficult to set the background music of the page directly. Therefore, since it is difficult to provide music according to the taste of the celebrity as the background music in the web page about the celebrity, the user's desire to know the taste of the celebrity cannot be satisfied.

Therefore, if the user's musical taste can be analyzed, the user's preference for music can be calculated using the analyzed result, and if the user's taste can be provided using the calculated preference, Not only users' desire to inform themselves through web pages, but also users' desire to check other users' tastes such as celebrities may be satisfied.

Accordingly, in the present invention, the music gene information of the user is extracted using a predetermined analysis engine, the music suitable for the taste of the user is selected based on the extracted music gene information, and the service is provided using the selected music. The present invention proposes a method for providing a music service.

The present invention has been made to improve the prior art as described above, an object of the present invention to provide music to the user's taste.

In addition, an object of the present invention is to enable the user to listen to the music according to their taste to other users visiting their web page, even if the user does not directly select the music to his taste.

In addition, an object of the present invention is to determine the user's feeling of preference to the user by calculating the user's feeling of preference in consideration of the time played by other users of music in accordance with the taste of the user.

In addition, an object of the present invention is to enable the user to check the musical taste of the other user by calculating the preferences of the other user for the music according to the user's taste and show it to the user.

In addition, an object of the present invention is to enable users to chat between users with similar music gene information, so that users with similar musical tastes can meet each other.

In addition, the present invention is to allow the user to present the music to the taste by allowing the user to provide the music to the other user, if the preference of the other user for the music according to the user's taste is more than a predetermined threshold. For the purpose of

In addition, an object of the present invention is to identify the distance between music by using audio fingerprinting information, so that it is possible to predict the preference for music only by receiving a preference for a predetermined number of sample music from the user. It is done.

In addition, an object of the present invention is to maximize the effect of the advertisement by inserting the advertisement information in the middle of playing music with high user preference.

In order to achieve the above object and solve the problems of the prior art, the music service providing method according to an embodiment of the present invention extracts the music gene information for the first user through a predetermined analysis engine, the first user And providing a web page associated with the web page and playing the selected music based on the music gene information when the web page detects a predetermined event of the second user.

In addition, the music service providing method according to another embodiment of the present invention comprises the steps of playing the music associated with the first user, receiving a selection for the second user from the first user, the predetermined analysis engine Extracting music gene information of a second user, calculating a preference of the second user for the music based on the music gene information of the second user, and providing the calculated preference to the first user It includes a step.

In addition, the music service providing method according to another embodiment of the present invention is the step of extracting the music gene information of the first user through a predetermined analysis engine, the step of extracting the music gene information of the second user through the analysis engine And calculating the music gene similarity by comparing the music gene information of the first user and the music gene information of the second user when the first user and the second user are located in the same virtual space. If genetic similarity is greater than a predetermined threshold, enabling a chat function between the first user and the second user.

Hereinafter, exemplary embodiments of the present invention will be described in detail with reference to the accompanying drawings and the contents described in the accompanying drawings, but the present invention is not limited or limited to the embodiments. Like reference numerals in the drawings denote like elements.

1 is a diagram illustrating a configuration of a system for executing a music service providing method according to an exemplary embodiment of the present invention.

As shown in the figure, the system for executing the music service providing method according to an embodiment of the present invention is a music database 110, analysis engine 120, music gene information database 130, music gene information management unit 140 ), A music player 150, and a user interface 160. Hereinafter, the components will be described in detail.

The music database 110 stores a plurality of music data. The music data may be obtained by a user from a predetermined Internet site through a predetermined method and used as background music of a web page of the user, and may be digital music data that can be streamed through a communication network. The music data may be downloaded to a computer terminal, a mobile phone terminal, or a portable media player through a communication network and played back. The music database 110 may include any storage device capable of storing data in addition to a commercial DBMS such as Oracle or MySQL DB2, or any program for storing and managing the data in the storage device.

In addition, the music database 110 may store metadata associated with the music data such as a title, a musician, a composer, a genre, a tempo, or lyrics, in association with the music data. The metadata may be further considered when calculating the user's preference for a given piece of music.

The analysis engine 120 receives taste information from the user, predicts the user's preference for music stored in the music database 110 based on the taste information using a predetermined analysis method, and includes the preference. Music information of the user is extracted. The taste information may be data obtained by numerically inputting a user's preference for a predetermined number of sample music, and may also correspond to metadata stored in the music database 110.

The analysis engine 120 identifies the distance information between each of the songs stored in the music database 110 to predict the user's preference for the music stored in the music database 110, and identifies the identified distance information. Generate a predetermined music map based on the. The distance information may be identified based on the similarity between the music predicted using the audio fingerprinting information for the music, wherein the music map is the node and the music map between the music. The distance may be in the form of a graph having the size of an edge connecting the nodes corresponding to the music. The process of extracting the music gene information from the analysis engine 120 and the music map will be described in more detail with reference to FIGS. 2 to 4 below.

The music gene information database 130 stores music gene information of the user extracted by the analysis engine 120. The music gene information of the user includes the user's preference for music stored in the music database 110. Therefore, when a predetermined music is selected, the user's preference for the music may be checked using the music gene information, and the music having a high preference among the music stored in the music database 110 using the music gene information. By selecting, there is an effect that can select the music that matches the preferences of the user. The music gene information database 130 may include all storage devices capable of storing data in addition to commercial DBMSs such as Oracle and MySQL DB2, or all programs storing and managing the data in the storage device.

The music gene managing unit 140 selects music suitable for the user's taste or calculates the user's preference for a predetermined music based on the music gene information of the user stored in the music gene information database 130. The music suited to the user's taste may be determined by sequentially selecting the music having high preference based on the user's preference for the music included in the music gene information of the user. In addition, the user's preference for a predetermined music may be calculated by extracting the user's preference for the music included in the music gene information of the user.

In addition, the music gene manager 140 calculates a music gene similarity with respect to music gene information of the first user and the second user. The music gene similarity is calculated according to the degree of agreement between the music gene information of the first user and the second user. The music gene information of the first user includes a preference of the first user for each of the music stored in the music database 110, and the music gene information of the second user is stored for each of the music stored in the music database 110. 2 Includes user preferences. Thus, the music gene similarity calculates the similarity of the preferences of the first user and the second user for each of the songs stored in the music database 110 and calculates an average value of the similarity of the preferences for the respective songs. By calculating the music gene similarity can be calculated. Those skilled in the art, in addition to the above-described method, any method can be applied to the present invention as long as it can calculate the similarity of two music gene information.

The music player 150 allows the selected music or the music selected by the user to be played as the background music of the predetermined web page based on the music gene information of the user. The music may be provided in the form of digital data that can be streamed or downloaded through a communication network. The music player 150 may be inserted by a predetermined tag of the web page to play the music as the background music of the web page. In addition, the music player 150 may calculate a play time of the music to be played. The play time of the music is used to calculate the likelihood of the other user to the user. If the play time is long, the play time of the music may be determined to be high.

Also, the music player 150 may play advertisement information after playing a predetermined number of music, and play music again after playing the advertisement information. The advertisement information may be an advertisement message or advertisement music provided in an audio form, and by inserting advertisement information among music with high preference of users, the advertisement information may be enhanced.

The user interface 160 provides a web page associated with the user. The web page may include a personal homepage, a blog or a cafe of the user for informing the user, and may be a chat room in which the user and other users can talk. The web page may provide selected music based on the music gene information of the user as background music, and the chat room may be opened by the user. In addition, the user interface unit 160 calculates a preference for the user of the second user based on a time when a second user who visited the web page plays music provided as background music in the web page. Can be provided to The likelihood may be the sum of the likelihood of the second user as well as the likelihood of the user visiting the web page. In addition, the second user's preference for the music provided as the background music may be received from the music gene information management unit 140 and provided to the user.

The user interface unit 160 receives a selection of a second user from a user and selects a music gene information of the second user's preference for the music selected by the user or the selected music based on the music gene information of the user. When received from the management unit 140 and the preference of the second user is greater than a predetermined threshold, the user provides a user interface for providing the music to the second user. Providing the music to the second user may allow the second user to receive the music in a streaming service or allow the second user to download the music to the user terminal of the second user. It may include, in addition to this may include any method for making the second user to use the music.

In addition, the user interface unit 160 receives predetermined taste information received from the user in order to extract the music gene information of the user from the analysis engine 120. The taste information may be the user's preference for a predetermined number of sample music. In this case, the user interface unit 160 provides the sample music to the user and provides the user with the preference for the sample music. You can receive input. In one example, the preference may be an integer between 0 and 100.

In addition, the user interface unit 160 provides a user with a predetermined virtual space, the user moves freely in the virtual space, and the user and other calculated by the music genetic information management unit 140 among other users in the vicinity If the musical gene similarity between the users is greater than a predetermined threshold, the chat function between the user and the other user can be enabled. Therefore, the users can have a conversation with users who have similar music tastes.

2 is a flowchart illustrating a flow of extracting music gene information for a user using a predetermined analysis engine in a music service providing method according to an exemplary embodiment of the present invention.

In step S201, distance information between music stored in the music database 110 is identified. The distance information between the music may be determined according to the similarity between the music, and if the similarity between the music is high, the distance between the music is determined to be close, and if the similarity between the music is low, the Allow the distance between music to be determined far. Therefore, by using the distance information between the music, it can be confirmed how similar the music.

The distance information may be determined using audio fingerprinting information on the music. Audio fingerprinting information is generally widely used for identifying music and may be calculated through a computer program. The audio fingerprinting information includes 32 positive integers related to the audio signal of the music file, each integer representing a characteristic of the audio signal. Accordingly, when the 32 positive integers coincide with each other in audio fingerprinting information of two pieces of music, the same music may be confirmed, and the similarity of the two pieces of music may be determined according to the similarity of the 32 positive integers.

In step S202, a predetermined music map is generated based on the distance information identified in step S201. The music map may be in the form of a graph in which music stored in the music database 110 is a node, and distance information between the music is the size of an edge connecting the nodes. Since the distance between the music is identified for every combination of music, the graph is a complete graph with all nodes connected to each other. Therefore, using the graph, the distance between any two pieces of music can be easily identified, and the graph can also be expressed using a predetermined two-dimensional matrix.

In step S203, a user inputs a preference for a predetermined number of sample music. Since the music map generated in step S202 can only check the relative distance between the music stored in the music database 110, it is not possible to confirm what preference each music data has in particular. Therefore, a predetermined number of sample music among the music included in the music map should be provided to the user, and the user's preference for the remaining music should be predicted based on the user's preference for the sample music. Therefore, in step S203, the user's preference for the sample music is input.

In step S204, the preferences of the music stored in the music database 110 are predicted using the user's preference for the sample music received in step S203. Using the music map, the similarity between the music can be easily identified, and thus, the music similar to the music with high user preference among the sample music (music close to a distance on the music map) has a high preference. The music may be predicted to have a low preference in the case of music similar to the music having low preference of the user among the sample music. Therefore, the user's preference for the music stored in the music database 110 can be predicted only by receiving the user's preference for a predetermined number (for example, five pieces) of sample music.

In step S205, the music gene information of the user including the preferences of the music is extracted. The music gene information may include all of the user's preferences for music stored in the music database 110. Therefore, when the music gene information is used, the music gene information may be selected and the predetermined music may be selected. The user's preference for can be calculated. In addition, by calculating the degree of similarity between the music gene information of the two users to measure the degree of music gene similarity, it is possible to determine how much the music taste of the two users, there is an effect that can provide a music service using the same.

3 is a diagram illustrating an example of a music map used to extract music gene information using a predetermined analysis engine in a music service providing method according to an embodiment of the present invention. 3 illustrates an example in which four music M1, M2, M3, and M4 are stored in the music database 110, and the same description may be applied to a case where more music is stored.

As shown in the figure, the music map has a graph form in which the music is the node 310 and the distance between the music is the size of the trunk 320. Therefore, since the music map includes all the information on the distance between the respective music, if a preference for any one of the nodes of the music map is determined, nodes close to the node in the music map are With preferences similar to the preferences, nodes far from the node may have preferences that differ from the preferences.

For example, in the drawing, since "M1" and "M3" are located close to each other in the music map, they will have similar preferences for the same user, and since "M1" and "M4" are located far away in the music map, You will have different preferences for the same user. Since the distance between the music can be automatically determined without using the user's manual using the audio fingerprinting information, the music map can be automatically generated without the user's manual.

4 is a diagram illustrating an example of a music map used to extract music gene information using a predetermined analysis engine in a matrix form in a music service providing method according to an embodiment of the present invention.

As shown in the figure, a music map having a graph form may have a matrix form when displayed as data. The matrix is where music stored in music database 110 is located in each row and column, and the distance information between each music is stored where the row and column for each music are crossed. In one example, the distance between "M1" and "M2" is "0.51" recorded where the first row where "M1" is located and the second column where "M2" is located intersect. The distance information may be normalized to 1 for the longest distance and 0 for the shortest distance. In addition, the distance information may be displayed in various ways. When the graph is expressed in the form of a matrix as described above, the size of each edge can be easily confirmed.

5 is a diagram illustrating music gene information used in a music service providing method according to an embodiment of the present invention.

As shown in the figure, the music gene information includes a user's preference for each music. Therefore, by using the music gene information, it is possible to select the music with a high preference of the user, it is possible to confirm the user's preference for a predetermined music.

For example, if the user wants to select music by using the music gene information of the user, "Kim Min-ho", "M4" with the highest preference of "Kim Min-ho" and the second largest "M2" may be selected. In addition, if you want to check the user's preference for "M3" "Lee Seung-min", the user checks the preferences of the item "Lee Seung-min" and the music "M3" in the music gene information, the preference to check It can be seen that "61".

6 is a flowchart illustrating a flow of a music service providing method according to an embodiment of the present invention.

In step S601, the music gene information of the first user is extracted by using a predetermined analysis engine 120. The analysis engine 120 receives taste information from the first user, and the first user's preference for music stored in a predetermined music database 110 based on the taste information using a predetermined analysis method. Predicts and extracts music gene information of the first user including the preference. The taste information may be data obtained by numerically inputting a user's preference for a predetermined number of sample music, and the music gene information may be a preference of the first user for music stored in the music database 110. have.

In step S602, a web page associated with the first user is provided. The web page may include a personal homepage, a blog or a cafe of the first user for notifying the first user, and may be a chat room in which the first user and other users can have a conversation. The web page may provide music selected as the background music based on the music gene information of the first user, and the chat room may be opened by the first user. The first user may be a user who uses a predetermined Internet site, and may be a celebrity such as a celebrity, a politician or an athlete. Particularly, in the case of a celebrity, since there is not enough time to manage the web page, there is a need for a method of providing music suitable for the taste of the celebrity as the background music of the web page without a separate music selection process.

In step S603, when the predetermined event of the second user is detected in the web page provided in step S602, the selected music is played based on the music gene information of the first user extracted in step S601. The second user may be a user who visited the web page to obtain information about the first user, and the event may be that the second user has accessed the web page, or the second user may have a web page. The predetermined button of may be clicked. Since the music gene information of the first user includes the preference of the first user with respect to the music stored in the music database 110, the music of the first user may be selected by selecting the music having high preference. Can be selected.

In step S604, the likelihood for the first user is calculated according to the playing time for the music selected in step S603. If the second user plays the selected music for a long time on the web page, there is a crush on the selected music, which may lead to a crush on the user's taste that caused the music to be selected, so that the playing time Based on the likelihood can be calculated for the first user. The likelihood may mean the likelihood of the second user to the first user, or may mean that the likelihood of the first user of all the users who visited the web page is aggregated.

In step S605, the music gene information for the second user is extracted using the analysis engine 120, and the music gene information for the music reproduced in step S603 is based on the music gene information for the second user. The preference of the second user is calculated. Since the music gene information includes a user's preference for music, using the music gene information for the second user, the preference of the second user for the selected music can be calculated.

In step S606, the first user is provided with a preference for the first user calculated in step S604 and a preference of the second user for the reproduced music calculated in step S605. Since the first user can check other users' preferences for the user and their preferences for the music selected according to their tastes, the first user can use it as a reference in the activity on the Internet, and a user can use the music preferences with the user. Make sure this is similar.

7 is a flowchart illustrating a flow of a music service providing method according to another embodiment of the present invention.

In step S701, music associated with the first user is played. The music associated with the first user may be music selected from the first user, or may be music selected based on music gene information of the first user extracted using the analysis engine 120.

In step S702, a selection for the second user is received from the first user. That is, the first user is to select a user who wants to listen to the music played in step S701. Therefore, the first user can listen to the music selected by the user or the music selected by the user with the second user.

In step S703, the music gene information of the second user is extracted through the analysis engine 120. The analysis engine 120 receives taste information from the second user, and the second user's preference for music stored in a predetermined music database 110 based on the taste information using a predetermined analysis method. Predicts and extracts music gene information of the second user including the preference.

In step S704, the preference of the second user for the music played in step S701 is calculated based on the music gene information for the second user extracted in step S703. Since the music gene information for the second user includes the second user's preference for music stored in the music database 110, using the music gene information of the second user, step S701. The preference of the second user with respect to the music played at can be checked.

In step S705, the preference calculated in step S704 is provided to the first user. Accordingly, the first user may check the preferences of other users with respect to the music selected by the user or the music selected according to his taste.

In step S706, if the preference calculated in step S704 is greater than a predetermined threshold, the first user is provided with a user interface for providing the music to the second user. Providing the music to the second user may allow the second user to receive the music in a streaming service or allow the second user to download the music to the user terminal of the second user. It may include, in addition to this may include any method for making the second user to use the music. Accordingly, the first user can present the music to a user who prefers the music selected by the user or the music selected by the user.

8 is a flowchart illustrating a flow of a music service providing method according to another embodiment of the present invention.

In step S801, the music gene information for the first user is extracted by using the predetermined analysis engine 120. In operation S802, the music gene information of the second user may be extracted using the analysis engine 120. The analysis engine 120 receives taste information from the first user and the second user, and uses the predetermined analysis method for the music stored in the predetermined music database 110 based on the taste information. Predicting the preferences of the first user and the second user, extracting the music gene information of the first user and the second user including the preference.

In step S803, when the first user and the second user are located in the same virtual space, the music gene information for the first user extracted in step S801 and the second user extracted in step S802. Using the similarity of the music gene information for the music gene similarity between the first user and the second user is calculated. The virtual space can be used anywhere in which the cyber character of the user can move, such as a space where an internet game or an avatar can operate.

The music gene similarity calculated in step S803 is calculated according to the degree of agreement between the music gene information of the first user and the second user. The music gene information of the first user includes a preference of the first user for each of the music stored in the music database 110, and the music gene information of the second user is stored for each of the music stored in the music database 110. 2 Includes user preferences. Thus, the music gene similarity calculates the similarity of the preferences of the first user and the second user for each of the songs stored in the music database 110 and calculates an average value of the similarity of the preferences for the respective songs. By calculating the music gene similarity can be calculated. As such, the music gene similarity may be used to determine how much the music tastes match between two users.

In step S804, if the music gene similarity between the first user and the second user calculated in step S803 is greater than a predetermined threshold, the chat function between the first user and the second user is enabled ( Enable). The music gene similarity between the first user and the second user is greater than the threshold value, meaning that the music taste between the first user and the second user is similar to a certain degree or more. Therefore, if the first user and the second user provides a chat function to communicate with each other, there is an effect that can be introduced to people with similar music tastes in the cyber space.

In step S805, when the first user or the second user selects the chat function enabled in step S804, based on the music gene information of the first user and the music gene information of the second user. The selected music is played. Since the first user and the second user are users with similar music tastes, the first user and the second user can play music preferred by both the first user and the second user during a chat between the first user and the second user. Both the first user and the second user can be satisfied. The music to be reproduced is selected as music having high preferences of both the first user and the second user.

9 is a flowchart illustrating a flow of a music service providing method according to another embodiment of the present invention.

In operation S901, the music gene information of the user is extracted using the predetermined analysis engine 120. The analysis engine 120 receives taste information from the user, predicts the user's preference for music stored in a predetermined music database 110 based on the taste information using a predetermined analysis method, Extract music gene information of the user including the preference

In step S902, when the user logs in to a predetermined web page, the selected music is played based on the music gene information extracted in step S901. Therefore, the user can log in to the web page and perform a desired task, and the user can enjoy the selected music according to his taste.

In step S903, it is checked whether the number of pieces of music played in step S902 is equal to or greater than the predetermined number. If the number of pieces of music reproduced is equal to or greater than the predetermined number, the advertisement information is reproduced in step S904. In case it returns to step S902 again to play the selected music. The advertisement information may be an advertisement message or advertisement music provided in an audio form, and by inserting advertisement information among music with high preference of users, the advertisement information may be enhanced. In addition, since the music played in step S902 may be provided free of charge using the advertisement fee corresponding to the advertisement information, there is an effect of allowing users to enjoy the music according to their tastes without any cost burden.

The music service providing method according to the present invention may be implemented in the form of program instructions that can be executed by various computer means and recorded in a computer readable medium. The computer readable medium may include program instructions, data files, data structures, etc. alone or in combination. Program instructions recorded on the media may be those specially designed and constructed for the purposes of the present invention, or they may be of the kind well-known and available to those having skill in the computer software arts. Examples of computer-readable recording media include magnetic media such as hard disks, floppy disks, and magnetic tape, optical media such as CD-ROMs, DVDs, and magnetic disks, such as floppy disks. Magneto-optical media, and hardware devices specifically configured to store and execute program instructions, such as ROM, RAM, flash memory, and the like. The medium may be a transmission medium such as an optical or metal wire, a waveguide, or the like including a carrier wave for transmitting a signal specifying a program command, a data structure, or the like. Examples of program instructions include not only machine code generated by a compiler, but also high-level language code that can be executed by a computer using an interpreter or the like. The hardware device described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

As described above, the present invention has been described by way of limited embodiments and drawings, but the present invention is not limited to the above-described embodiments, which can be variously modified and modified by those skilled in the art to which the present invention pertains. Modifications are possible. Accordingly, the spirit of the present invention should be understood only by the claims set forth below, and all equivalent or equivalent modifications thereof will belong to the scope of the present invention.

According to the present invention has an effect that can provide music to the user to the user's taste.

In addition, according to the present invention there is an effect that allows the user to listen to the music to his or her taste to other users visiting his web page, even if the user does not directly select the music to his or her taste.

In addition, according to the present invention by calculating the user's feeling of preference in consideration of the time that other users play the music to the user's taste, there is an effect that can determine the user's feeling of preference to the user.

In addition, according to the present invention by calculating the preference of the other user for the music according to the user's taste and show to the user, there is an effect that allows the user to check the musical taste of the other user.

In addition, according to the present invention, by enabling the chat between users with similar music gene information, there is an effect that can meet users with similar musical tastes.

In addition, according to the present invention, if the user's preference for music that meets the user's preference is greater than or equal to a predetermined threshold, the user can provide the music to the user by providing the music to the user. It is effective.

In addition, according to the present invention by using the audio fingerprinting information to identify the distance between the music, the effect of being able to predict the preferences for the music only by receiving a preference for a predetermined number of sample music from the user There is.

In addition, according to the present invention, by inserting the advertisement information in the middle of playing the music with high user preference, there is an effect of maximizing the effect of the advertisement.

Claims (16)

Extracting music gene information for the first user through a predetermined analysis engine; Providing a web page associated with the first user; And Playing a music selected based on the music gene information when a predetermined event of a second user is detected on the web page; Music service providing method comprising a. The method of claim 1, Calculating a preference for the first user according to the playing time of the music Music service providing method further comprises. The method of claim 1, Extracting music gene information for the second user through the analysis engine; Calculating a preference of the second user for the music based on the music gene information of the second user; And Providing the calculated preference to the first user Music service providing method further comprises. The method of claim 1, And a web page associated with the first user is a chat room opened by the first user. Playing music associated with the first user; Receiving a selection of a second user from the first user; Extracting music gene information of the second user through a predetermined analysis engine; Calculating a preference of the second user for the music based on the music gene information of the second user; And Providing the calculated preference to the first user Music service providing method comprising a. The method of claim 5, If the preference is greater than a predetermined threshold, providing the first user with a user interface for providing the music to the second user. Music service providing method further comprises. The method of claim 5, wherein the music associated with the first user is: The music service providing method, characterized in that the music selected by the first user. The method of claim 5, wherein the music associated with the first user is: And extracting music gene information of the first user through the analysis engine and selecting music based on the music gene information of the first user. Extracting music gene information of the first user through a predetermined analysis engine; Extracting music gene information of a second user through the analysis engine; Calculating music gene similarity by comparing the music gene information of the first user and the music gene information of the second user when the first user and the second user are located in the same virtual space; And If the musical gene similarity is greater than a predetermined threshold, enabling a chat function between the first user and the second user Music service providing method comprising a. The method of claim 9, When the first user or the second user selects the chat function, playing music selected based on music gene information of the first user and music gene information of the second user; Music service providing method further comprises a Extracting music gene information of the user through a predetermined analysis engine; And When the user logs in to the web page of the user, playing the music selected based on the music gene information; Music service providing method comprising a. The method of claim 11, wherein the playing of the selected music comprises: And after the predetermined number of music is played, advertising information is played. The method of any one of claims 1 to 12, wherein the analysis engine, Identify distance information between respective music from the plurality of music, Generate a predetermined music map based on the identified distance information, Receiving a preference for a predetermined number of sample music from the user to extract the music gene information, Predict a preference for each of the plurality of songs based on the preference for the sample music and the music map, And extracting music gene information including a preference for each of the predicted plurality of songs. The method of claim 13, wherein the distance information between the music, Music service providing method characterized in that it is identified based on the similarity between the music predicted by using the audio fingerprinting information for the music The method of claim 13, wherein the music map, The music service method of claim 1, wherein the music is a node, and the distance between the music is a graph form of the size of the edge connecting the nodes corresponding to the music. A computer-readable recording medium having recorded thereon a program for executing the method of any one of claims 1 to 15.

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