WO2023173584A1 - Method, system and apparatus for acquiring ranking list, and medium - Google Patents

Abstract

The present disclosure relates to the field of ranking lists, and relates to a method, system and apparatus for acquiring a ranking list, and a medium. The method comprises: acquiring an overall ranking list corresponding to a target ranking list; acquiring a preset number of top-ranking operation objects in the overall ranking list as first candidate objects; according to a preset ranking sequence number, acquiring operation objects in the overall ranking list as second candidate objects; acquiring scoring data of a target object at a preset scoring time, and according to the scoring data, acquiring real-time scoring data of the target object at the current time; and acquiring stored scoring data of the first candidate objects and the second candidate objects that is stored at the same time. By means of the present disclosure, the sense of participation and competition of a target object in a project can be improved, better interaction and incentive effects can be achieved, and a target ranking list is updated in real time, so that the incentive effect on the target object is further improved, and the use efficiency is improved.

Description

A method, system, device and medium for obtaining rankings Technical field

The present disclosure relates to the field of data security, and specifically relates to a method, system, device and medium for obtaining rankings.

Background technique

Rankings are a common technical means to display real-time ranking changes to users. In related technologies, the rankings are displayed sequentially from the first place by default, and the displayed content is mainly based on user rankings. For real-time updating of the ranking list, generally speaking, more users need to compete at the same time and obtain the rankings of all users, and then display the users to achieve a better interactive incentive effect. However, it is difficult to have more users in the same time period. Users compete in the same project, so the ranking data fluctuates less, making it difficult to motivate and interact with users.

In order to solve the above problem, the existing ranking list records the user's data. When the user uses the ranking list, the user's data is ranked with the recorded user data. However, this can only get the final ranking list. During the user's use, the user's data is ranked. , the data cannot be updated in real time, or if the user's data at a certain time is compared with the total data of other users, the user's ranking will always be lower. Therefore, in the actual use process, the ranking cannot satisfy the user. There is a sense of participation and competition in the process of using it. At the same time, the difference in the overall score is relatively large and it is not easy to catch up.

Contents of the invention

In order to solve the above problems, the present disclosure provides a method, system, device and medium for obtaining rankings, so as to achieve the purpose of improving the user's sense of participation and competition, and improving interactive incentives.

To achieve the above purpose, this disclosure provides a method for obtaining rankings, including:

In response to the ranking processing instruction, obtain the overall ranking corresponding to the target ranking; in this disclosure, the overall ranking is the ranking of the same item as the target ranking, which can be the ranking obtained by the item within a week or several weeks The overall ranking list is the total score ranking after the project ends, so the number of operation objects in the total ranking list is larger. In this disclosure, the same item can be scored for playing the same game, or it can also be scored for playing the same sport. This disclosure is not limited to specific item categories.

After obtaining the total ranking list, in order to achieve better incentive and competition effects, first obtain the preset number of operation objects that rank high in the total ranking list as the first candidates; The higher the score of the operation object, the better the motivating effect for users when ranking, and the higher the sense of competition.

At the same time, each user's ability is uneven. If they are all top-ranked operation objects, it may be difficult to surpass them. Therefore, this disclosure obtains the overall ranking based on the first candidate object according to the preset ranking sequence number. The operation object in the list is used as the second candidate object; in this process, the preset ranking sequence number does not include the ranking sequence number of the operation object ranked top in the overall ranking list, so as to avoid repeated extraction.

When presetting the ranking sequence numbers, in order to further improve the user's sense of participation, the rankings of each stage in the overall ranking list need to be involved. Therefore, the number of intervals between the ranking sequence numbers can be the total number of operation objects based on the overall ranking list. The quantity is set in different levels. For example, the number of intervals between ranking numbers can be three levels. The number of intervals between the preset ranking numbers in the first level is 10, and the number of intervals between the preset ranking numbers in the second level is 10. The number is 50, and the number of intervals between the preset ranking numbers in the third layer is 100. The specific size of the intervals and the number of ranking numbers in each layer are based on the total number of operating objects in the total ranking and the target ranking. Determined by the number of objects, when selecting the second candidate object, since the preset ranking sequence number can cover multiple levels of the total ranking, including not only the top-ranked operation objects, but also the lower-ranking operation objects, so regardless of Which level of scoring ability does the user have? When ranking, the ranking can be continuously updated, which will have a better participation effect, improve the user's enthusiasm, and improve the interaction effect.

After obtaining the first candidate object and the second candidate object according to the above operation, a preliminary target ranking list is obtained;

In order to further improve the user's sense of competition and interaction effect, the target ranking list of the present disclosure can be updated in real time when the target object is using it. When the target object is working on a project, the duration and content of the project are fixed. A number of scoring times are set, that is, when the project reaches the preset scoring time, the target object will be scored and the scoring data will be obtained. When the next preset scoring time is reached, new scoring data will be obtained, so when the next preset scoring time is reached, the target object will be scored. The target ranking list of this disclosure will be updated only when the scoring time is preset. When this disclosure is used, the real-time scoring data at the current time is the latest obtained scoring data at the preset scoring time.

Obtain the stored score data of the first candidate object and the second candidate object at the same time; in this disclosure, after the operation object completes a project, it will store the operation object's score data at each preset scoring time when performing the project. When obtaining the real-time score data of the target object at the current time, obtain the stored score data of the first candidate object and the second candidate object at that time, and then update the target ranking based on the stored score data and real-time score data. Ranking, when used, the ranking information of the target object is obtained by comparing the score data of the operation object at the same time point, so at different time points, the obtained target ranking list may change, and it can be further used when using it. to improve interaction and motivation effects.

Based on this, the score data under the preset scoring time of each operation object is stored. When there are many operation objects and score data, the process of data storage and transmission will not only cause a large amount of data, but also affect data reading. In order to improve efficiency, this disclosure sets the score data as time slice data, and the time slice data includes score data and the timestamp corresponding to the score data. At the same time, the time slice data is compressed, which can effectively reduce the data size. In terms of storage, a database is established to receive and store compressed time slice data to further improve usage efficiency.

In order to further enrich the target ranking list, a preset number of operating objects will be randomly selected on the basis of the second candidate to further improve the target object's sense of participation and interaction effect. Specifically: after excluding the first candidate object A preset number of operation objects are randomly obtained from the list of the total ranking list of the second candidate object and the second candidate object as the third candidate object, and a target ranking list is generated based on the first candidate object, the second candidate object and the third candidate object.

Moreover, a preset number of operation objects matching the target object are obtained from the total ranking list excluding the first candidate object, the second candidate object, and the third candidate object as the fourth candidate object, according to the first candidate object The object, the second candidate object, the third candidate object and the fourth candidate object generate a target ranking list. In this disclosure, the operation object that matches the target object is the operation object that the target object is concerned about. The target object and the operation object can be friends, which can further increase the sense of participation and interaction effect, thereby achieving an incentive effect.

Corresponding to the method in this disclosure, this disclosure also provides a system for obtaining rankings, including:

The acquisition module is used to respond to the ranking processing instructions and obtain the total ranking corresponding to the target ranking;

The first selection module is used to obtain the top-ranked preset number of operation objects in the overall ranking list as the first candidate objects;

The second selection module is used to obtain the operation object in the overall ranking list according to the preset ranking sequence number as the second candidate object;

The scoring module is used to obtain the scoring data obtained by the target object at the preset scoring time, and obtain the real-time scoring data of the target object at the current time based on the scoring data;

An extraction module, used to obtain the storage score data of the first candidate object, the second candidate object, the third candidate object and the fourth candidate object stored at the same time;

Generate a ranking module to compare stored score data and real-time score data, and update the target ranking.

It also includes: a third selection module, used to randomly obtain a preset number of operating objects as third candidates from the overall ranking list excluding the first candidate object and the second candidate object;

The fourth selection module is used to obtain a preset number of operation objects that match the target object as the fourth candidate object from the total ranking list excluding the first candidate object, the second candidate object, and the third candidate object. .

The system for obtaining the ranking list of the present disclosure can perform operations corresponding to the method for obtaining the ranking list.

Corresponding to the method in the present disclosure, the present disclosure also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor executes the The computer program implements the operation of the above method of obtaining the ranking list.

Corresponding to the method in the present disclosure, the present disclosure also provides a storage medium. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the operations of the above-mentioned method for obtaining a ranking list are implemented. .

One or more technical solutions provided by the present disclosure have at least the following technical effects or advantages: the present disclosure improves the progress of the target object by screening the first candidate object and the second candidate object in the total ranking list that matches the target ranking list. The sense of participation and competition in the project can achieve better interaction and motivation effects, and the real-time score data of the target object is compared with the stored score data of the first candidate object and the second candidate object at the same time, and then updated in real time. The target ranking list further improves the incentive effect for target objects and improves usage efficiency.

Description of the drawings

The drawings described here are used to provide a further understanding of the embodiments of the present disclosure, constitute a part of this application, and do not constitute a limitation on the embodiments of the present disclosure. In the attached picture:

Figure 1 is a schematic flow chart of a method for obtaining rankings in Embodiment 1;

Figure 2 is a schematic flow chart of a method for obtaining rankings in Embodiment 2;

Figure 3 is a schematic diagram of a system for obtaining rankings.

Detailed ways

In order to understand the above objects, features and advantages of the present disclosure more clearly, the present disclosure will be described in further detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that, as long as they do not conflict with each other, the embodiments of the present disclosure and the features in the embodiments can be combined with each other.

Many specific details are set forth in the following description to fully understand the present disclosure. However, the present disclosure can also be implemented in other ways that are different from the scope of this description. Therefore, the protection scope of the present disclosure is not limited by the following disclosure. limitations of specific embodiments.

Those skilled in the art will understand that in the present disclosure, the terms "vertical", "lateral", "upper", "lower", "front", "rear", "left", "right", " The orientations or positional relationships indicated by "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. are based on the orientations or positional relationships shown in the drawings, which are only for the convenience of describing the present disclosure and The description is simplified and is not intended to indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore the above terminology is not to be construed as limiting the disclosure.

It should be understood that the term "a" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of an element may be one, while in other embodiments, the number of the element may be The number may be multiple, and the term "one" shall not be understood as a limitation on the number.

Embodiment 1

Please refer to Figure 1. Figure 1 is a schematic flow chart of a method for obtaining the ranking list. The present disclosure provides a method for obtaining the ranking list. The method includes:

In response to the ranking processing instruction, obtain the total ranking corresponding to the target ranking;

Obtain the preset number of operating objects that rank high in the overall ranking list as the first candidate objects;

Obtain the operation object in the overall ranking list according to the preset ranking sequence number as the second candidate object;

Generate a target ranking list based on the first candidate object and the second candidate object;

The target object obtains scoring data at the preset scoring time, and obtains the real-time scoring data of the target object at the current time based on the scoring data;

Obtain the storage score data of the first candidate object and the second candidate object stored at the same time;

Update target rankings based on stored score data and real-time score data.

At the same time, the target ranking list is displayed on the display.

Embodiment 2

Please refer to Figure 2. Figure 2 is a schematic flow chart of a method of obtaining the ranking list. The present disclosure provides a method of obtaining the ranking list. The method includes:

In response to the ranking processing instruction, obtain the total ranking corresponding to the target ranking;

Obtain the preset number of operating objects that rank high in the overall ranking list as the first candidate objects;

Obtain the operation object in the overall ranking list according to the preset ranking sequence number as the second candidate object;

Randomly obtain a preset number of operating objects as third candidates from the overall ranking list excluding the first candidate object and the second candidate object;

Obtain a preset number of operation objects matching the target object as the fourth candidate object from the total ranking list excluding the first candidate object, the second candidate object, and the third candidate object;

Generate a target ranking list based on the first candidate object, the second candidate object, the third candidate object and the fourth candidate object;

The target object obtains scoring data at the preset scoring time, and obtains the real-time scoring data of the target object at the current time based on the scoring data;

Obtain the storage score data of the first candidate object, the second candidate object, the third candidate object and the fourth candidate object stored at the same time;

Update the target rankings based on stored score data and real-time score data, and display the target rankings.

Among them, the score data of the operation object under the preset scoring time is stored to obtain a number of stored score data; the score data is time slice data, including score data and the timestamp corresponding to the score data. Compress the time slice data, store the compressed time slice data, and obtain some storage score data.

The following is an introduction to a method of obtaining rankings in this disclosure with specific examples:

In this embodiment, the target object performs fitness exercises. The fitness equipment is provided with a collection device that collects and identifies the movements of the target object. At the same time, the fitness equipment is provided with a display screen. The target object performs fitness exercises following the video played on the display screen. The video is pre-recorded. There are multiple preset scoring times. When the video is played to the preset scoring time, the fitness equipment scores the user's actions, that is, each preset scoring time corresponds to one scoring data.

Operation 1: The target object selects a video to perform fitness exercises, and the fitness equipment obtains the weekly ranking list of other operation objects under the video. In this operation, the weekly ranking list is the total score ranking of the operation objects who have performed fitness exercises in the video within a week. At the same time, the fitness equipment stores the score data of each operating object in the weekly ranking list under the preset scoring time, that is, a number of stored score data. The score data is time slice data, including score data and the timestamp corresponding to the score data. . After compressing the time slice data, store the compressed time slice data to obtain some stored score data. In this embodiment, it is preferred to perform gzip compression on the real-time score field of the time slice data and compress it into a byte array. and stored in the database.

Operation 2 obtains the top 100 operation objects in the overall ranking list as the first candidates;

Operation 3: Obtain the operation object in the overall ranking list according to the preset ranking sequence number as the second candidate object;

Operation 3.1 In this embodiment, the total ranking list has 1000 operation objects, and the preset ranking numbers are divided into three levels. The ranking numbers of the first level are 101-200 of the ranking number of the total ranking list. The ranking number of the level is 201-500 of the ranking number of the overall ranking, and the ranking number of the third level is 501-1000 of the ranking number of the overall ranking.

Operation 3.2 In this embodiment, the preset ranking numbers start from 110 and end at 200 in the first level. The interval between two adjacent ranking numbers is 10, that is, the ranking number in the first level is 110. , 120, 130, 140...200 operation objects as the second candidate objects;

In the second level, starting from sequence number 250 and ending with sequence number 500, the interval between two adjacent ranking numbers is 50, that is, in the second level, operations with ranking numbers 250, 300, 350, 400, 450, and 500 are filtered. object as a second candidate;

In the third level, starting from sequence number 600 to ending at 1000, the interval between two adjacent ranking numbers is 100, that is, in the third level, the operation objects with ranking numbers 600, 700, 800, 900, and 1000 are selected as the third level. Two candidates.

Operation 4 In this embodiment, the first candidate object and the second candidate object are excluded from the total ranking list, and 400 objects are randomly selected from the remaining operation objects. When selecting randomly, JDK is used in this embodiment to implement linear operation. The congruence algorithm randomly selects as the third candidate;

Operation 5 In this embodiment, a preset number of operating objects matching the target object are obtained as fourth candidates from the total ranking list excluding the first candidate object, the second candidate object, and the third candidate object. Object. In this embodiment, the operation object that matches the target object is the object that the target object pays attention to. In this embodiment, the number of operation objects in the target ranking is 550. If the fourth candidate object filtered out If the number is less than 29, then a corresponding number of operating objects will be randomly selected as the fourth candidates; if the number of screened fourth candidates is greater than 29, then 29 operating objects will be randomly selected as the fourth candidates. At the same time, if the filtered operation object that matches the target object is the same as the first candidate object, the second candidate object, or the third candidate object, then it will be marked. In the target ranking list, the target object can see the marked operation. object.

Operation 6 generates a target ranking list based on the first candidate object, the second candidate object, the third candidate object, and the fourth candidate object;

Operation 7: The target object obtains scoring data at the preset scoring time, and obtains the real-time scoring data of the target object at the current time based on the scoring data;

Operation 7.1 In the fitness video of this embodiment, the preset scoring times are when the video is played to 2 seconds, 5 seconds, 10 seconds, 15 seconds, 25 seconds, 30 seconds, 40 seconds, and 45 seconds. Under the scoring time, the target object obtains the corresponding scoring data;

Operation 8: When the preset scoring time is 2 seconds, the target user obtains the scoring data. At this time, the first candidate object, the second candidate object, the third candidate object and the fourth candidate object are retrieved when the preset scoring time is 2 seconds. Storage score data stored at the time;

Operation 8.1 Compares the target user's score data, the first candidate object, the second candidate object, the third candidate object and the fourth candidate object's stored score data stored when the preset scoring time is 2 seconds. According to the size of the score data, from Sort from high to low and update the target ranking list;

Operation 9: When the preset scoring time is 5 seconds, the target user obtains the scoring data. At this time, the first candidate object, the second candidate object, the third candidate object and the fourth candidate object are retrieved when the preset scoring time is 5 seconds. Storage score data stored at the time;

Operation 9.1 Compares the target user's score data, the first candidate, the second candidate, the third candidate and the fourth candidate's stored score data when the preset scoring time is 5 seconds. According to the size of the score data, from Sort from high to low and update the target ranking list;

Operation 10 repeats operations 8 and 9 until the video is played, the target ranking is updated at each preset scoring time, and the target ranking is displayed on the display.

Embodiment 3

Please refer to Figure 3. Figure 3 is a schematic diagram of a system for obtaining rankings. Based on the above embodiments, Embodiment 3 of the present disclosure provides a system for obtaining rankings. The system includes:

The acquisition module is used to respond to the ranking processing instructions and obtain the total ranking corresponding to the target ranking;

The first selection module is used to obtain the top-ranked preset number of operation objects in the overall ranking list as the first candidate objects;

The second selection module is used to obtain the operation object in the list of the overall ranking list according to the preset ranking sequence number as the second candidate object;

The third selection module is used to randomly obtain a preset number of operating objects as third candidates from the overall ranking list excluding the first candidate object and the second candidate object;

The fourth selection module is used to obtain a preset number of operation objects that match the target object as the fourth candidate object from the total ranking list excluding the first candidate object, the second candidate object, and the third candidate object. .

The scoring module is used to obtain the scoring data of the target object at the preset scoring time, and obtain the real-time scoring data of the target object at the current time based on the scoring data;

An extraction module, used to obtain the storage score data of the first candidate object, the second candidate object, the third candidate object and the fourth candidate object stored at the same time;

Generate a ranking module to compare stored score data and real-time score data, and update the target ranking.

The system for obtaining the rankings in this embodiment may also perform operations corresponding to the method for obtaining the rankings in Embodiment 1 and/or Embodiment 2.

Embodiment 4

Embodiment 4 of the present disclosure provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the The operation of a method to get the ranking list.

The processor may be a central processing unit, or other general-purpose processor, digital signal processor, application-specific integrated circuit, off-the-shelf programmable gate array or other programmable logic device, discrete gate or transistor logic device, discrete hardware components etc. A general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

The memory may be used to store the computer program and/or module, and the processor implements various functions of a device for obtaining a ranking in the present disclosure by running or executing data stored in the memory. The memory may mainly include a program storage area and a data storage area, where the program storage area may store an operating system, an application program required for at least one function (such as a sound playback function, an image playback function, etc.), and the like. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, memory, plug-in hard disk, smart memory card, secure digital card, flash memory card, at least one disk storage device, flash memory device, or other volatile solid-state storage devices.

Embodiment 5

Embodiment 5 of the present disclosure provides a computer-readable storage medium. The computer-readable storage medium stores a computer program. When the computer program is executed by a processor, the operations of the method for obtaining a ranking list are implemented.

The computer storage media of the embodiments of the present disclosure may be any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. The computer-readable storage medium may be, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination thereof. More specific examples (non-exhaustive list) of computer readable storage media include: an electrical connection having one or more conductors, a portable computer disk, a hard drive, random access memory (RAM), read only memory (ROM) ), erasable programmable read-only memory ((Erasable Programmable Read Only Memory, EPROM) or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination of the above. As used herein, a computer-readable storage medium may be any tangible medium that contains or stores a program for use by or in connection with an instruction execution system, apparatus, or device.

Although the preferred embodiments of the present disclosure have been described, those skilled in the art will be able to make additional changes and modifications to these embodiments once the basic inventive concepts are apparent. Therefore, it is intended that the appended claims be construed to include the preferred embodiments and all changes and modifications that fall within the scope of this disclosure.

Obviously, those skilled in the art can make various changes and modifications to the present disclosure without departing from the spirit and scope of the disclosure. In this way, if these modifications and variations of the present disclosure fall within the scope of the claims of the present disclosure and equivalent technologies, the present disclosure is also intended to include these modifications and variations.

Claims (18)

A method to obtain rankings, including: In response to the ranking processing instruction, obtain the total ranking corresponding to the target ranking; Obtain the preset number of operating objects that rank high in the overall ranking list as the first candidate objects; Obtain the operation object in the overall ranking list according to the preset ranking sequence number as the second candidate object; Generate a target ranking list based on the first candidate object and the second candidate object; The target object obtains scoring data at the preset scoring time, and obtains the real-time scoring data of the target object at the current time based on the scoring data; Obtain the storage score data of the first candidate object and the second candidate object stored at the same time; Update target rankings based on stored score data and real-time score data. A method for obtaining a ranking list according to claim 1, wherein a preset number of operating objects are randomly obtained as the third candidate object from the list of the total ranking list excluding the first candidate object and the second candidate object. , generate a target ranking list based on the first candidate object, the second candidate object, and the third candidate object. A method for obtaining a ranking list according to claim 2, wherein a preset number of the target objects are obtained from the list excluding the first candidate object, the second candidate object and the third candidate object from the total ranking list. The matched operation object serves as the fourth candidate object, and a target ranking list is generated based on the first candidate object, the second candidate object, the third candidate object and the fourth candidate object. A method for obtaining rankings according to claim 1, wherein the score data of the operation object under the preset scoring time is stored to obtain a plurality of stored score data; the score data is time slice data, including score data and score data corresponding to timestamp. A method for obtaining a ranking list according to claim 4, wherein the time slice data is compressed and the compressed time slice data is stored to obtain a plurality of stored score data. A method for obtaining a ranking list according to claim 5, wherein a database is established to store compressed time slice data. A system for obtaining leaderboards, including: The acquisition module is used to respond to the ranking processing instructions and obtain the total ranking corresponding to the target ranking; The first selection module is used to obtain the top-ranked preset number of operation objects in the overall ranking list as the first candidate objects; The second selection module is used to obtain the operation object in the overall ranking list according to the preset ranking sequence number as the second candidate object; The scoring module is used to obtain the scoring data obtained by the target object at the preset scoring time, and obtain the real-time scoring data of the target object at the current time based on the scoring data; An extraction module, used to obtain the storage score data of the first candidate object, the second candidate object, the third candidate object and the fourth candidate object stored at the same time; Generate a ranking module to compare stored score data and real-time score data, and update the target ranking. A system for obtaining rankings according to claim 7, further comprising: The third selection module is used to randomly obtain a preset number of operating objects as third candidates from the overall ranking list excluding the first candidate object and the second candidate object; The fourth selection module is used to obtain a preset number of operation objects that match the target object as the fourth candidate object from the total ranking list excluding the first candidate object, the second candidate object, and the third candidate object. . A system for obtaining a ranking list according to claim 8, wherein the target ranking list is generated according to the first candidate object, the second candidate object, the third candidate object and the fourth candidate object. A system for obtaining rankings according to claim 7, wherein the score data of the operation object under the preset scoring time is stored to obtain a plurality of stored score data; the score data is time slice data, including score data and score data corresponding to timestamp. A system for obtaining rankings according to claim 10, wherein the time slice data is compressed and the compressed time slice data is stored to obtain a plurality of stored score data. A system for obtaining rankings according to claim 11, wherein a database is established to store compressed time slice data. A computer-readable storage medium, the computer-readable storage medium stores a computer program, wherein when the computer program is executed by a processor, the following operations of a method for obtaining a ranking list are implemented: In response to the ranking processing instruction, obtain the total ranking corresponding to the target ranking; Obtain the preset number of operating objects that rank high in the overall ranking list as the first candidate objects; Obtain the operation object in the overall ranking list according to the preset ranking sequence number as the second candidate object; Generate a target ranking list based on the first candidate object and the second candidate object; The target object obtains scoring data at the preset scoring time, and obtains the real-time scoring data of the target object at the current time based on the scoring data; Obtain the storage score data of the first candidate object and the second candidate object stored at the same time; Update target rankings based on stored score data and real-time score data. A computer-readable storage medium according to claim 13, wherein a preset number of operating objects are randomly obtained as the third candidate object from the list excluding the first candidate object and the second candidate object. , generate a target ranking list based on the first candidate object, the second candidate object, and the third candidate object. A computer-readable storage medium according to claim 14, wherein a preset number of the target objects are obtained from the ranking list excluding the first candidate object, the second candidate object, and the third candidate object. The matched operation object serves as the fourth candidate object, and a target ranking list is generated based on the first candidate object, the second candidate object, the third candidate object and the fourth candidate object. A computer-readable storage medium according to claim 13, wherein the score data of the operation object under the preset score time is stored to obtain a plurality of stored score data; the score data is time slice data, including score data and score data corresponding to timestamp. A computer-readable storage medium according to claim 16, wherein the time slice data is compressed and the compressed time slice data is stored to obtain a plurality of storage score data. A computer-readable storage medium according to claim 17, wherein a database is established to store the compressed time slice data.

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