CN111159551B

CN111159551B - User-generated content display method and device and computer equipment

Info

Publication number: CN111159551B
Application number: CN201911389153.9A
Authority: CN
Inventors: 秦景; 陈冬冬; 朱晓霞; 杨颖莘; 李浩宇
Original assignee: Hanhai Information Technology Shanghai Co Ltd
Current assignee: Hanhai Information Technology Shanghai Co Ltd
Priority date: 2019-12-30
Filing date: 2019-12-30
Publication date: 2023-11-03
Anticipated expiration: 2039-12-30
Also published as: CN111159551A

Abstract

The disclosure discloses a display method and device of user generated content and computer equipment, and belongs to the technical field of Internet. Comprising the following steps: acquiring at least one user behavior data within a first specified time period; determining at least one first target topic tag associated with the at least one UGC; counting the first number of each behavior category under each first target topic label according to at least one user behavior data; determining at least one second target topic label from the at least one first target topic label according to the first number of each behavior category under each first target topic label; at least one second target topic label is displayed in the topic list interface. According to the method and the device, the at least one second target topic label is displayed in the topic list interface, so that ranking of the topic labels according to the user behavior data is achieved, topic labels with high attention are displayed, users can select interested contents, and information acquisition efficiency is improved.

Description

User-generated content display method and device and computer equipment

Technical Field

The disclosure relates to the technical field of internet, and in particular relates to a method and a device for displaying user generated content and computer equipment.

Background

With the development of internet technology, users can conduct transactions through O2O (Online To Offline ) services, and also can publish UGC (User Generated Content ) in an internet transaction platform of the O2O services. With the increase of internet users, the content of UGC in the internet transaction platform is also increasing. And the user can screen and know commodities through UGC issued by other users in the internet transaction platform. The UGC may be a UGC that a user publishes for any topic in an internet trading platform, for example, the UGC may be text dynamics carrying a topic tag that the user publishes, an evaluation performed on a trading process or a trading object, and so on.

Disclosure of Invention

The embodiment of the disclosure provides a display method, a device and computer equipment for user generated content, which refine the display content and improve the efficiency of information acquisition of users. The technical scheme is as follows:

in one aspect, there is provided a method of displaying user-generated content, the method comprising:

acquiring at least one piece of user behavior data within a first specified time period, wherein the user behavior data comprises behavior categories and user generated content UGC, and related topic tags in the UGC;

Determining at least one first target topic tag associated with at least one of the UGCs;

counting a first number of each behavior category under each first target topic label according to at least one user behavior data;

determining at least one second target topic label from at least one first target topic label according to the first quantity of each behavior category under each first target topic label;

displaying at least one second target topic label in a topic list interface.

In one possible implementation, the determining at least one first target topic tag associated with at least one of the UGCs includes:

determining at least one topic tag associated with at least one of the UGCs;

determining a second number of UGCs associated with each of the topic tags based on at least one of the user behavior data;

selecting at least one first target topic label with a second number larger than a first preset threshold value from at least one topic label.

In another possible implementation manner, the counting the first number of each behavior category under each first target topic label according to at least one user behavior data includes:

Acquiring a third number of each behavior category under each first target topic label according to at least one user behavior data;

selecting a maximum third number from the third numbers of each behavior category under each first target topic label;

and according to the selected third quantity, carrying out normalization processing on the third quantity of each behavior category under each first target topic label to obtain the first quantity of each behavior category under each first target topic label.

In another possible implementation manner, the determining at least one second target topic tag from at least one first target topic tag according to the first number of each behavior category under each first target topic tag includes:

determining a fourth number of each behavior category according to the first number of each behavior category under each first target topic label;

determining the influence degree of each behavior category on the first target topic label according to the first quantity of each behavior category and the fourth quantity of each behavior category under each first target topic label;

determining the attention degree of each first target topic label according to the influence degree of each behavior class on the first target topic label and the preset weight of each first target topic label;

Selecting at least one second target topic label from at least one first target topic label according to the attention degree of each first target topic label.

In another possible implementation manner, the determining the influence degree of each behavior category on the first target topic label according to the first number of each behavior category and the fourth number of each behavior category under each first target topic label includes:

determining a difference value of a first number of each behavior category and a fourth number of each behavior category under each first target topic label;

and weighting the corresponding difference value of each behavior category of the first target topic label according to each behavior category to obtain the influence degree of each behavior category on the first target topic label.

In another possible implementation, the method further includes:

acquiring at least one third target topic label displayed in a second designated time period of the topic list interface;

for a first target topic label that is the same as a topic label in at least one of the third target topic labels, setting a preset weight of the first target topic label to a first preset weight;

For a first target topic tag different from topic tags in at least one third target topic tag, setting a preset weight of the first target topic tag to a second preset weight, wherein the first preset weight is smaller than the second preset weight.

In another possible implementation, after the displaying the at least one second target topic label in the topic list interface, the method further includes:

when a triggering operation of any second target topic label is received, jumping to a detail interface of the second target topic label;

and displaying at least one UGC content corresponding to the second target topic label and information of a target object corresponding to the second target topic label in the detail interface.

In another possible implementation, after the determining at least one first target topic tag associated with at least one of the UGCs, the method further includes:

determining a degree of association between each of the first target topic tags and the region information;

and deleting the first target topic labels with the association degree larger than a second preset threshold value from at least one first target topic label according to the association degree between each first target topic label and the area information.

In another aspect, there is provided a display apparatus for user-generated content, the apparatus comprising:

the system comprises a first acquisition module, a second acquisition module and a first processing module, wherein the first acquisition module is used for acquiring at least one piece of user behavior data within a first specified time period, the user behavior data comprises behavior categories and user generated content UGC, and related topic labels in the UGC;

a first determining module configured to determine at least one first target topic tag associated with at least one of the UGCs;

the statistics module is used for counting the first quantity of each behavior category under each first target topic label according to at least one piece of user behavior data;

a second determining module, configured to determine at least one second target topic label from at least one first target topic label according to a first number of each behavior category under each first target topic label;

and the display module is used for displaying at least one second target topic label in the topic list interface.

In one possible implementation, the first determining module is further configured to determine at least one topic tag associated with at least one of the UGCs; determining a second number of UGCs associated with each of the topic tags based on at least one of the user behavior data; selecting at least one first target topic label with a second number larger than a first preset threshold value from at least one topic label.

In another possible implementation manner, the statistics module is further configured to obtain, according to at least one of the user behavior data, a third number of each behavior category under each of the first target topic tags; selecting a maximum third number from the third numbers of each behavior category under each first target topic label; and according to the selected third quantity, carrying out normalization processing on the third quantity of each behavior category under each first target topic label to obtain the first quantity of each behavior category under each first target topic label.

In another possible implementation manner, the second determining module is further configured to determine a fourth number of each behavior category according to the first number of each behavior category under each of the first target topic tags; determining the influence degree of each behavior category on the first target topic label according to the first quantity of each behavior category and the fourth quantity of each behavior category under each first target topic label; determining the attention degree of each first target topic label according to the influence degree of each behavior class on the first target topic label and the preset weight of each first target topic label; selecting at least one second target topic label from at least one first target topic label according to the attention degree of each first target topic label.

In another possible implementation manner, the second determining module is further configured to determine a difference value between the first number of each of the behavior categories and the fourth number of each of the behavior categories under each of the first target topic tags; and weighting the corresponding difference value of each behavior category of the first target topic label according to each behavior category to obtain the influence degree of each behavior category on the first target topic label.

In another possible implementation, the apparatus further includes:

the second acquisition module is used for acquiring at least one third target topic label displayed in the second appointed time period of the topic list interface;

the first setting module is used for setting the preset weight of a first target topic label which is the same as the topic label in at least one third target topic label as a first preset weight;

the second setting module is configured to set, for a first target topic label different from at least one topic label in the third target topic labels, a preset weight of the first target topic label to be a second preset weight, where the first preset weight is smaller than the second preset weight.

In another possible implementation, the apparatus further includes:

the jump module is used for jumping to a detail interface of any second target topic label when receiving a trigger operation of the second target topic label;

the display module is used for displaying at least one UGC content corresponding to the second target topic label and information of the target object corresponding to the second target topic label in the detail interface.

In another possible implementation, the apparatus further includes:

a third determining module, configured to determine a degree of association between each of the first target topic labels and the region information;

and the deleting module is used for deleting the first target topic labels with the association degree larger than a second preset threshold value from at least one first target topic label according to the association degree between each first target topic label and the area information.

In another aspect, a computer device is provided that includes one or more processors and one or more memories having stored therein at least one instruction loaded and executed by the one or more processors to implement operations performed by a display method of user-generated content as described in method embodiments of the present disclosure.

In another aspect, a non-transitory computer readable storage medium having stored therein at least one instruction loaded and executed by a processor to implement operations performed by a display method of user generated content as described in method embodiments of the present disclosure is provided.

In the embodiment of the disclosure, at least one piece of user behavior data within a first specified time period is acquired, wherein the user behavior data comprises behavior categories and user generated content UGC, and associated topic labels in the UGC; determining at least one first target topic tag associated with the at least one UGC; counting the first number of each behavior category under each first target topic label according to at least one user behavior data; determining at least one second target topic label from the at least one first target topic label according to the first number of each behavior category under each first target topic label; at least one second target topic label is displayed in the topic list interface. At least one first target topic label is obtained through the user behavior data, at least one second target topic label is determined according to the number of behavior categories under the at least one target topic label, and the at least one second target topic label is displayed in a topic list interface, so that ranking of the topic labels according to the user behavior data is achieved, topic labels with high user attention are selected, topic labels with high attention are displayed, a user can select interested contents according to the displayed topic labels, and information obtaining efficiency is improved.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure.

FIG. 1 is a system architecture diagram illustrating one method of displaying user-generated content according to some exemplary embodiments of the present disclosure;

FIG. 2 is a flow chart of a display method of user generated content according to an exemplary embodiment;

FIG. 3 is a flow chart of a method of displaying user-generated content, according to an exemplary embodiment;

FIG. 4 is a flow chart of a method of displaying user-generated content, according to an exemplary embodiment;

FIG. 5 is a block diagram of a display device showing user generated content according to an exemplary embodiment;

fig. 6 is a block diagram of a terminal according to an exemplary embodiment;

fig. 7 is a schematic diagram illustrating a structure of a server according to an exemplary embodiment.

Detailed Description

For the purposes of clarity, technical solutions and advantages of the present disclosure, the following further details the embodiments of the present disclosure with reference to the accompanying drawings.

Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary examples are not representative of all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with some aspects of the present disclosure as detailed in the accompanying claims.

Fig. 1 is a system architecture diagram illustrating a display method of user-generated content according to an exemplary embodiment of part of the present disclosure. The system architecture diagram includes a first computer device 101 and at least one second computer device 102. The at least one second computer device 102 may be a computer device on which an internet transaction platform is installed, where the internet transaction platform is an internet transaction platform with a function of publishing UGC, and a user may praise, comment, forward, collect or enjoy the UGC in the internet transaction platform through the internet transaction platform. Accordingly, the user may issue a user behavior through an internet transaction platform installed on the second computer device 102, receive at least one piece of user behavior data generated according to the user operation, and send the at least one piece of user behavior data to the first computer device 101, where the user behavior data includes a behavior class of the user and UGC corresponding to the behavior class.

The behavior category may be a behavior of publishing UGC or popularizing a target object in the internet transaction platform, or a behavior of praying, commenting, forwarding, collecting or rewarding the UGC published by other users or the target object popularizing in the internet transaction platform. The UGC may be a language published by the user and unrelated to the target object, or may be a comment published by the user for the target object in the internet transaction platform, where the target object may be a store, a commodity, or the like. The at least one second computer device 102 transmits the user-entered UGC to the first computer device 101. In addition, the UGC may carry a topic tag, which may be a user tag actively added by the user according to the content of the UGC, and may also be a topic tag generated by the second computer device 102 according to the content of the UGC. And, the number of the topic labels carried in the UGC can be set and adjusted according to the requirement. In the embodiments of the present disclosure, there is no particular limitation in this regard.

The first computer device 101 may receive at least one user behavior data transmitted by the at least one second computer device 102, determine a topic tag associated with the at least one user behavior data based on the received at least one user behavior data, and determine at least one first target topic tag based on the topic tag associated with the at least one user behavior data. The first computer device 101 and the at least one second computer device 102 may be terminals installed with an internet transaction platform, and accordingly, the first computer device 101 and the at least one second computer device 102 may be mobile phones, computers, tablet computers, or wearable devices.

The first computer device 101 may also be a server of an internet transaction platform installed in the terminal, and correspondingly, the first computer device 101 may be a server, or may be a server cluster formed by a plurality of servers. When the first computer device 101 is a server, the first computer device 101 may send at least one first target topic label to a third computer device for displaying the at least one first target topic label.

FIG. 2 is a flowchart illustrating a method of displaying user-generated content according to an exemplary embodiment, the method of displaying user-generated content including, as shown in FIG. 2, the steps of:

step 201: at least one piece of user behavior data within a first specified time period is acquired, wherein the user behavior data comprises behavior categories and associated topic labels in user generated content UGC.

Step 202: at least one first target topic tag associated with at least one UGC is determined.

Step 203: according to at least one user behavior data, counting the first quantity of each behavior category under each first target topic label.

Step 204: at least one second target topic tag is determined from the at least one first target topic tag based on the first number of each behavior category under each first target topic tag.

Step 205: at least one second target topic label is displayed in the topic list interface.

In one possible implementation, determining at least one first target topic tag associated with at least one UGC includes:

determining at least one topic tag associated with the at least one UGC;

determining a second number of UGCs associated with each of the topic tags based on the at least one user behavior data;

at least one first target topic label with a second number greater than a first preset threshold is selected from the at least one topic labels.

In another possible implementation, counting the first number of each behavior class under each first target topic label according to at least one user behavior data includes:

In another possible implementation, determining at least one second target topic tag from the at least one first target topic tags according to the first number of each behavior category under each first target topic tag includes:

determining influence of each behavior category on the first target topic label according to the first quantity of each behavior category and the fourth quantity of each behavior category under each first target topic label;

at least one second target topic label is selected from the at least one first target topic labels according to the attention of each first target topic label.

In another possible implementation, determining the influence of each behavior category on the first target topic tag according to the first number of each behavior category and the fourth number of each behavior category under each first target topic tag includes:

In another possible implementation, the method further includes:

for a first target topic label that is the same as a topic label in the at least one third target topic label, setting a preset weight of the first target topic label to a first preset weight;

for a first target topic tag different from topic tags in the at least one third target topic tag, setting a preset weight of the first target topic tag to a second preset weight, the first preset weight being less than the second preset weight.

In another possible implementation, after displaying the at least one second target topic label in the topic list interface, the method further includes:

And displaying at least one UGC content corresponding to the second target topic label and information of the target object corresponding to the second target topic label in the detail interface.

In another possible implementation, after determining the at least one first target topic tag associated with the at least one UGC, the method further includes:

determining a degree of association between each first target topic label and the region information;

and deleting the first target topic labels with the association degree larger than a second preset threshold value from at least one first target topic label according to the association degree between each first target topic label and the region information.

In the embodiment of the disclosure, at least one piece of user behavior data within a first specified time period is acquired, wherein the user behavior data comprises behavior categories and user generated content UGC, and associated topic labels in the UGC; determining at least one first target topic tag associated with the at least one UGC; counting the first number of each behavior category under each first target topic label according to at least one user behavior data; determining at least one second target topic label from the at least one first target topic label according to the first number of each behavior category under each first target topic label; at least one second target topic label is displayed in the topic list interface. At least one first target topic label is obtained through the user behavior data, at least one second target topic label is determined according to the number of behavior categories under the at least one target topic label, and the at least one second target topic label is displayed in a topic list interface, so that ranking of the topic labels according to the user behavior data is achieved, topic labels with high attention are displayed, a user can select interested contents according to the displayed topic labels, and information obtaining efficiency is improved.

FIG. 3 is a flowchart illustrating a method of displaying user-generated content according to an exemplary embodiment, the method of displaying user-generated content including, as shown in FIG. 3, the steps of:

step 301: the first computer device obtains at least one user behavior data within a first specified period of time, the user behavior data including a behavior category and user generated content UGC, the UGC having associated therewith a topic tag.

The user sends at least one user behavior data through the second computer device, which records the at least one user behavior data published by the user. Referring to fig. 4, a first computer device periodically obtains at least one user behavior data of a user in at least one second computer device. The first computer device acquires at least one user behavior data of a user in at least one second computer device in a first specified time period once every other first specified time period.

In one possible implementation manner, when the second computer device receives user behavior data input by a user, the user behavior data is uploaded to a server corresponding to the internet transaction platform, and the first computer device may acquire at least one piece of user data uploaded by at least one second computer device from the server every first designated time period.

In another possible implementation manner, the first computer device is a server corresponding to the internet transaction platform, and accordingly, the at least one second computer device sends the received user behavior data to the first computer device, and the first computer device may directly obtain the received at least one user behavior data uploaded by the at least one second computer device in the first specified period of time.

The user behavior data comprises behavior categories and user generated content UGC, wherein the UGC is associated with topic tags. The first computer device may first determine whether a corresponding UGC in the received at least one user behavior data is associated with a topic tag; at least one user behavior data of the associated topic tag is obtained. Correspondingly, in one possible implementation manner, when uploading the user behavior data, the second computer device may also determine whether the UGC corresponding to the user behavior data is related to the topic tag, and when the UGC corresponding to the user behavior data is related to the topic tag, upload the user behavior data related to the topic tag, and the first server may directly obtain the user behavior data related to the topic tag.

In the embodiment of the disclosure, the first computer device only acquires the user behavior data of the related topic labels, so that the acquired topic labels are all the topic labels mentioned in the first computer device, thereby preventing inaccurate topic labels from being caused by determining the topic labels according to UGC content, forming false data, and further improving the accuracy of the user behavior data corresponding to the topic labels.

Wherein the first specified time period may be set and adjusted as needed, which is not specifically limited in the embodiments of the present disclosure. For example, the first specified period of time may be 24 hours, 48 hours, etc. before the current time.

Step 302: the first computer device determines at least one first target topic tag associated with the at least one UGC.

In this step, with continued reference to fig. 4, the first computer device rejects the topic labels that do not meet the requirements, and screens out at least one first target topic label. The first computer device determines each UGC-associated topic label from the acquired at least one UGC, and determines at least one first target topic label according to the at least one UGC-associated topic label. This process can be achieved by the following steps (A1) - (A3), comprising:

(A1) The first computer device determines at least one topic tag associated with at least one UGC.

In this step, the first computer device determines a topic tag associated with each UGC. Wherein the UGC may be associated with at least one topic tag, the computer device may count each topic tag associated with the UGC, and determine the at least one topic tag from each topic tag associated with the at least one UGC.

(A2) The first computer device determines a second number of UGCs associated with each of the tags based on the at least one user behavior data.

In this step, the first computer device counts the number of UGCs corresponding to each topic label according to at least one user behavior data, to obtain a second number.

(A3) The first computer device selects from the at least one topic tag a second number of at least one first target topic tag that is greater than a first preset threshold.

The first preset threshold may be set and modified as needed, which is not specifically limited in the embodiment of the present disclosure. For example, the preset number may be 10, 15, 20, or the like.

In the implementation manner, the first computer device rejects first target topic tags, of which the second number of UGC corresponding to the first target topic tags is smaller than a first preset threshold, so as to screen out second target topics, of which the second number is larger than the first preset threshold, and screens the topic tags through the number of UGC under the first target topic tags to obtain at least one first target topic tag, so that topic tags with practical significance are screened out, invalid first target topic tags with only a small number of UGC but excessively high user behavior data are prevented, the influence of the invalid first target topic tags on the first target topic tags is prevented, and the effectiveness of the first target topic tags is improved.

In addition, the first computer device may determine the region information of each first target topic label, and screen out the first target topic label with the smallest regional association according to the region information of each first target topic label. This process can be achieved by the following steps (B1) - (B2), comprising:

(B1) The first computer device determines a degree of association between each first target topic label and the region information.

The first computer device determines a degree of association between each first target topic label and the region information based on the content of the first target topic label. The first computer device may extract a keyword of a first target topic label, compare the keyword with keywords in a region information keyword library, and use a similarity between the keyword of the first target topic label and the keyword in the region information keyword library as a degree of association between the first target topic label and the region information.

The keywords in the regional information keyword library can be place names, festival names related to regions, custom names or dialects related to regions, and the like. In the embodiments of the present disclosure, this is not particularly limited. For example, the keyword may be a place name a, a city name B, a splatter section, a switch section, or the like.

(B2) The first computer device deletes the first target topic label with the association degree larger than the second preset threshold value from at least one first target topic label according to the association degree between each first target topic label and the area information.

In this step, the first computer device determines a degree of association of each region information in each first target topic label with the first target topic label; and determining the association degree of the region information from the association degree of at least one region information of the first target topic label, and deleting the first target topic label when the association degree is larger than the second preset threshold value.

The second preset threshold may be set and modified as needed, which is not specifically limited in the embodiments of the present disclosure. For example, the second preset threshold may be 0.6, 0.8, 0.9, or the like.

In the implementation manner, the first computer equipment determines the association degree of the first target topic label and the region information, and eliminates the first target topic label related to the region information in the first target topic label, so that topic labels unsuitable for being distributed in different places are eliminated, and the screened topic labels meet the demands of most users.

Step 303: the first computer device counts a first number of each behavior category under each first target topic label according to at least one user behavior data.

The at least one piece of user behavior data comprises the number of behavior categories corresponding to each UGC under each first target topic label. For example, the at least one user behavior data includes a number of UGCs under the first target topic label, a number of praise corresponding to all UGCs, a number of forwarding corresponding to all UGCs, a number of favorites corresponding to all UGCs, and the like.

The first number may be a total number corresponding to each behavior category under the first target topic; the first number may also be a number of increases per behavioral category over a first specified period of time under the first target topic. In the embodiments of the present disclosure, this is not particularly limited.

For each behavior class, the first computer device counts the number corresponding to the behavior class, respectively, and in one possible implementation, the first computer device uses the number corresponding to each behavior class as the first number. In another possible implementation, with continued reference to fig. 4, the first computer device normalizes the data. The first computer equipment normalizes the quantity corresponding to each behavior category respectively to obtain a first quantity of normalized behavior categories. Wherein the obtaining the normalized first number of steps may be performed by steps (1) - (3) comprising:

(1) The first computer device obtains a third number of each behavior category under each first target topic label according to at least one user behavior data.

In this step, for each first target topic label, the first computer device counts a third number of each behavior category under the first target topic label, respectively.

(2) The first computer device selects a largest third number from the third numbers for each behavioral category under each first target topic label.

In this step, for each behavior category, the first computer device selects, from among the third behavior amounts corresponding to the behavior category, a maximum third amount corresponding to the behavior category, under at least one target topic label.

(3) And the first computer equipment performs normalization processing on the third quantity of each behavior category under each first target topic label according to the selected third quantity to obtain the first quantity of each behavior category under each first target topic label.

In this step, the first computer device determines, according to the maximum third number corresponding to each behavior category, a normalized first number of the behavior category corresponding to each first target topic label. In one possible implementation, the first computer device determines a maximum third number of normalized values corresponding to the behavior class as 1; determining a ratio of a third quantity corresponding to the behavior category under the other first target topic label to the maximum third quantity, and determining the normalized first quantity corresponding to the behavior category under the first target topic label by the ratio. In another possible implementation manner, the first computer device performs the normalization processing on the third number through log function conversion, and the normalization processing may be implemented by the following formula one.

Equation one: x is x ^* ＝log ₁₀ (x)/log ₁₀ (max(x))

Wherein x is ^* For a third number of normalized values, i.e. the first number, x is the third number and max (x) is the maximum third number. It should be noted that, in order to avoid the case that the log value is no solution, in the embodiment of the present disclosure, x and max may also be processed separately, for example, x and max may be processed by adding 1 separately. In addition, formula one is just a way to normalize the third number by a logarithmic method, and in the embodiment of the present disclosure, the base number of the logarithm in the formula is not specifically limited, and may be, for example, a natural number e. Accordingly, the formula one can also be expressed as: x is x ^* =ln (x+1)/ln (max (x) +1), and the like.

In the implementation manner, the normalization processing is performed on the third behavior quantity corresponding to each behavior category, so that the order of magnitude difference between different behavior categories is eliminated, and the accuracy of determining the first target topic label according to the user behavior data is improved.

Step 304: the first computer device determines a fourth number of each behavior category based on the first number of each behavior category under each first target topic label.

Wherein the fourth number is a value that can be used to represent an average level of the first number corresponding to the same behavior category of the at least one first target topic label. For example, the fourth number may be an average of the first number of the same behavior categories to which the at least one first target topic label corresponds; the fourth number may also be a median of the first number of the same behavior category to which the at least one first target topic tag corresponds. In the embodiments of the present disclosure, the expression of the fourth number is not particularly limited.

Accordingly, in one possible implementation manner, for each behavior category, the first computer device determines, according to the first number corresponding to the behavior category under each first target topic label, the total number of the behavior categories corresponding to the at least one first target topic label, determines a quotient of the total number of the behavior categories under the at least one first target topic label and the at least one first target topic label, and determines a quotient of the total number of the behavior categories under the at least one first target topic label and the at least one first target topic label as a fourth number.

In another possible implementation manner, for each behavior category, the first computer device determines, according to a first number corresponding to the behavior category under each first target topic label, a maximum first number and a minimum first number corresponding to the behavior category, divides a sum of the maximum first number and the minimum first number by 2, and obtains a median corresponding to the behavior category, and takes the median as the fourth number.

In the implementation manner, the average level of the number of the behavior categories of the first target topic is determined by determining the fourth number corresponding to the behavior categories under the first target topic label, so that the influence degree of any behavior category on the target topic is prevented from being increased due to excessive increase of the number, and the influence degree of the behavior category on the first target topic is prevented from being influenced.

Step 305: the first computer device determines the influence of each behavior category on the first target topic label according to the first number of each behavior category and the fourth number of each behavior category under each first target topic label.

In this step, with continued reference to fig. 4, the first computer device determines a usable value for each behavior category of the first target topic label. The first computer device respectively determines the difference value of the first quantity of each behavior category under the first target topic label and the fourth quantity of the behavior category as the influence of the behavior category on the first target topic label under the first target topic label. The process can be realized by the following steps (1) - (2), comprising:

(1) The first computer device determines a difference of a first number of each behavior category and a fourth number of each behavior category under each first target topic label.

When the difference value between the first number and the fourth number is greater than zero, determining that the influence degree of the behavior category on the first target topic label is positive under the first target topic label; and when the difference value between the first quantity and the fourth quantity is smaller than zero, determining that the influence degree of the behavior category on the first target topic label is negative under the first target topic label.

(2) The first computer device weights the corresponding difference value of each behavior category of the first target topic label according to each behavior category to obtain the influence of each behavior category on the first target topic label.

The different behavior categories have different degrees of influence on the first target topic label, for example, for the same first target topic label, the degree of influence of the UGC carrying the first target topic label on the first target topic label is published and is greater than the degree of influence on the UGC in the praise operation under the first target topic label. Thus, depending on the degree of influence of different behavior categories on the first target topic label, a weight of the influence of each behavior category on the first target topic label may be determined.

The weight may be adjusted according to the degree of influence of different behavior categories on the first target topic label, and in the embodiment of the present disclosure, the weight of each behavior category is not specifically limited. For example, the behavior categories include: publishing UGC, praying the UGC and commenting on the UGC; the corresponding weight for each behavior class may be: 0.5, 0.2 and 0.3.

In this step, the first computer device determines the influence degree of the behavior category according to the difference value of the first target behavior category, so that the situation that the influence degree of any behavior category on the target topic is increased due to excessive increase of the number is prevented, and the influence degree of the behavior category on the first target topic is prevented from being influenced.

Step 306: the first computer device determines the attention degree of each first target topic label according to the influence degree of each behavior class on the first target topic label and the preset weight of each first target topic label.

The preset weights of the first target topic labels may be the same or different.

In one possible implementation, when the preset weights of the first target topic labels are the same, the first computer device may regard the sum of the influence of the behavior category in each first target topic label on the first target topic label as the attention of the first target topic label.

In another possible implementation, with continued reference to fig. 4, the first computer device determines the degree of interest of the first target topic label according to different preset weights. When the preset weights of the first target topic labels are different, the first computer device may determine the preset weights of the first target topic labels according to the display history of the first target topic labels, set the preset weights of the displayed first target topic labels as first preset weights, set the preset weights of the first target topic labels which are not displayed as second preset weights, and determine the attention degree of the first target topic labels according to the different preset weights respectively.

Accordingly, when the preset weights of the first target topic labels are different, the process of determining the first target topic labels by the first computer device may be implemented by the following steps (1) - (3), including:

(1) The first computer device obtains at least one third target topic label displayed by the topic board interface within a second specified period of time.

The second specified time period is a period of time before the first specified time period, and specified durations corresponding to the first specified time period and the second specified time period may be the same or different, which is not specifically limited in the embodiment of the present disclosure. For example, the specified time periods corresponding to the first specified time period and the second specified time period may be the same, and the specified time periods corresponding to the first specified time period and the second specified time period may both be 24h or 48h, or the like. The first specified time period refers to a time period corresponding to a specified duration from the current time, and the second specified time period refers to a time period corresponding to a specified duration from a specified time before the current time. For example, the first specified period refers to a period corresponding to 24 hours before the current time, and the second specified period refers to a period corresponding to 24 hours before from 6 hours before the current time.

The first computer device displays different target topic labels according to the attention of the different target topic labels in different time periods. When the attention of the first target topic label is determined, at least one third target topic label displayed in a second designated time period is acquired from the displayed history.

It should be noted that, in the second specified period, a plurality of sets of third target topic labels may be displayed, and in the second specified period, only one set of target topic labels may be displayed. When a plurality of groups of third target topic labels are displayed in the second designated time period, the first computer device may display all topic labels corresponding to the plurality of groups of third target topic labels, and the first computer device may also display only a group of third target topic labels closest to the current time, which is not particularly limited in the implementation of the present disclosure.

(2) For a first target topic tag that is the same as a topic tag in the at least one third target topic tag, the first computer device sets a preset weight for the first target topic tag to a first preset weight.

In this step, the first computer device determines a displayed first target topic label from the at least one first target topic label according to the at least one third target topic label, and sets a preset weight of the displayed first target topic label as a first preset weight.

(3) For a first target topic tag different from the topic tag in the at least one third target topic tag, the first computer device sets a preset weight of the first target topic tag to a second preset weight, the first preset weight being less than the second preset weight.

In this step, the first computer device determines a first target topic label that is not displayed from the at least one first target topic label according to the at least one third target topic label, and sets the preset weight of the first target topic label that is not displayed as the second preset weight. Wherein the first preset weight is smaller than the second preset weight.

In the implementation manner, the preset weight of the displayed first target topic label is set to be smaller than the preset weight of the first target topic label which is not displayed, and the weight reduction processing is properly performed on the displayed first target topic label, so that the latest topic label can be displayed, and the exposure rate of the newly generated topic label is improved.

After the first electronic device determines the preset weight of each first target topic label, taking the product of the sum of the influence of the behavior categories under each first target topic label and the preset weight as the attention of the first target topic label.

Step 307: the first computer device selects at least one second target topic label from the at least one first target topic labels according to the degree of interest of each first target topic label.

In this step, the first computing device selects, from at least one first target topic label, at least one second target topic label having a degree of attention greater than a preset degree of attention; alternatively, the first computer device may select a preset number of second target topic labels with a larger degree of attention from the at least one first target topic label according to the degree of attention of the at least one first target topic label.

The preset attention and the preset number may be set and changed as required, which is not particularly limited in the embodiment of the present disclosure. For example, the preset attention may be 1.2, 1.3, 1.5, or the like; the preset number may be 8, 10, 12, etc.

Step 308: the first computer device displays at least one second target topic label in the topic list interface.

The first computer equipment can display the jump interface of the topic list interface, and when the jump interface of the topic list interface is triggered, the first computer equipment displays the topic list interface, and at least one topic label can be displayed in the topic list interface.

In this step, in the topic list display interface, the at least one second target topic label may be displayed in order of from high to low according to the degree of attention of the second target topic label.

The topic list interface also receives triggering operation on any second target topic label, when the first computer equipment receives the triggering operation on any second target topic label, the first computer equipment jumps to a detail interface corresponding to the second target topic label, information in the detail interface is displayed, and the process can be realized through the following steps (1) - (2), and comprises the following steps:

(1) When a triggering operation on any second target topic label is received, the first computer device jumps to the detail interface of the second target topic label.

The triggering operation may be a click operation or a long press operation on any second target topic label. Each second target topic label is a jump button of the detail interface corresponding to the second target topic label, and when any second target topic label is triggered, the first computer equipment jumps to the detail interface corresponding to the second target topic label.

(2) The first computer device displays at least one UGC content corresponding to the second target topic label and information of the target object corresponding to the second target topic label in the detail interface.

The UGC content corresponding to the second target topic label comprises UGC carrying the second target topic label and UGC published in a detail interface of the second target topic label.

The target object corresponding to the second target topic label includes a shop or commodity in an internet transaction platform related to the second target topic label, and the information of the target object may be information such as a shop or commodity name, average consumption or commodity price, and the like. In the embodiments of the present disclosure, this is not particularly limited.

It should be noted that, with continued reference to fig. 4, the first computer device may also manually maintain the second target topic tag. Correspondingly, the middle UGC and the target object of the detail interface under each second target topic label can be screened according to the geographic position of the first computer device. Accordingly, the process may be: the method comprises the steps that first computer equipment obtains geographical position information of a current user; determining a target position range according to the geographic position information of the user; and displaying at least one UGC content corresponding to the second target topic label in the target position range and information of the target object corresponding to the second target topic label.

The first computer device may further receive a display modification operation of the topic list operation interface after determining at least one second target topic label displayed in the topic list interface. In the display changing operation, a changed target topic label is carried, the target topic label can be a topic label in at least one second target topic label, and the target topic label can also be a new topic label; the display changing operation further includes operation content of the pair of target topic labels, and the operation content may include changing a display order of the target topic labels, and the like.

For example, in the changing operation, any second target topic label in the at least one second target topic label may be carried, the corresponding operation on the second target topic label is a top-setting operation, and when the first computer device receives the specified operation of the second target topic label, the second target topic label is displayed in the topic list in the top.

In addition, the display change operation may further carry a duration of the present display change operation, for example, continuing to illustrate with the above example, and in the display change operation, the display change operation may further carry a duration of the present specified operation, and accordingly, after the first computer device receives the display change operation, the second target topic label may be displayed on the top in the topic list within the duration of the operation.

In the implementation mode, the topic labels displayed in the topic list and the display positions of the topic labels can be changed by receiving the display change instruction according to the display change instruction, so that the topic list is maintained manually, and the topic labels needing to be promoted can be promoted.

It should be noted that the first computer device may display the at least one second target topic label in a display interface of the first computer device; the first computer device may also display the at least one second target topic label in other computer devices. Accordingly, the first computer device may send the at least one second target topic label to a third computer device, which receives the at least one second target topic label and displays the at least one second target topic label in a display interface of the third computer device. The process of displaying the at least one second target topic label by the third computer device is similar to the process of displaying the at least one second target topic label by the first computer device, and will not be described herein.

Fig. 5 is a block diagram of a display apparatus of user-generated content according to an exemplary embodiment, and as shown in fig. 5, the display apparatus of user-generated content includes:

a first obtaining module 501, configured to obtain at least one user behavior data within a first specified period, where the user behavior data includes a behavior category and a user generated content UGC, and an associated topic tag in the UGC;

a first determining module 502 for determining at least one first target topic tag associated with at least one UGC;

a statistics module 503, configured to count, according to at least one user behavior data, a first number of each behavior category under each first target topic label;

a second determining module 504, configured to determine at least one second target topic tag from the at least one first target topic tags according to the first number of each behavior category under each first target topic tag;

the display module 505 is configured to display at least one second target topic label in the topic list interface.

In one possible implementation, the first determining module 502 is further configured to determine at least one topic tag associated with at least one UGC; determining a second number of UGCs associated with each of the topic tags based on the at least one user behavior data; at least one first target topic label with a second number greater than a first preset threshold is selected from the at least one topic labels.

In another possible implementation manner, the statistics module 503 is further configured to obtain, according to at least one user behavior data, a third number of each behavior category under each first target topic label; selecting a maximum third number from the third numbers of each behavior category under each first target topic label; and according to the selected third quantity, carrying out normalization processing on the third quantity of each behavior category under each first target topic label to obtain the first quantity of each behavior category under each first target topic label.

In another possible implementation manner, the second determining module 504 is further configured to determine a fourth number of each behavior category according to the first number of each behavior category under each first target topic label; determining influence of each behavior category on the first target topic label according to the first quantity of each behavior category and the fourth quantity of each behavior category under each first target topic label; determining the attention degree of each first target topic label according to the influence degree of each behavior class on the first target topic label and the preset weight of each first target topic label; at least one second target topic label is selected from the at least one first target topic labels according to the attention of each first target topic label.

In another possible implementation, the second determining module 504 is further configured to determine a difference between the first number of each behavior class and the fourth number of each behavior class under each first target topic label; and weighting the corresponding difference value of each behavior category of the first target topic label according to each behavior category to obtain the influence degree of each behavior category on the first target topic label.

In another possible implementation, the apparatus further includes:

the first setting module is used for setting the preset weight of the first target topic label as a first preset weight for the first target topic label which is the same as the topic label in the at least one third target topic label;

the second setting module is configured to set, for a first target topic label different from the topic label in the at least one third target topic label, a preset weight of the first target topic label to be a second preset weight, where the first preset weight is smaller than the second preset weight.

In another possible implementation, the apparatus further includes:

The jump module is used for jumping to a detail interface of the second target topic label when receiving the triggering operation of any second target topic label;

In another possible implementation, the apparatus further includes:

a third determining module, configured to determine a degree of association between each first target topic label and the region information;

and the deleting module is used for deleting the first target topic labels with the association degree larger than the second preset threshold value from at least one first target topic label according to the association degree between each first target topic label and the area information.

It should be noted that: the display device for user generated content provided in the above embodiment only illustrates the division of the above functional modules when displaying user generated content, and in practical application, the above functional allocation may be performed by different functional modules according to needs, that is, the internal structure of the terminal is divided into different functional modules, so as to complete all or part of the functions described above. In addition, the display device of the user generated content provided in the above embodiment and the display method embodiment of the user generated content belong to the same concept, and detailed implementation processes of the display device and the display method embodiment of the user generated content are detailed in the method embodiment, and are not repeated here.

Fig. 6 shows a block diagram of a terminal 600 provided by an exemplary embodiment of the present disclosure. The terminal 600 may be: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion picture expert compression standard audio plane 3), an MP4 (Moving Picture Experts Group Audio Layer IV, motion picture expert compression standard audio plane 4) player, a notebook computer, or a desktop computer. Terminal 600 may also be referred to by other names of user devices, portable terminals, laptop terminals, desktop terminals, etc.

In general, the terminal 600 includes: a processor 601 and a memory 602.

Processor 601 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and the like. The processor 601 may be implemented in at least one hardware form of DSP (Digital Signal Processing ), FPGA (Field-Programmable Gate Array, field programmable gate array), PLA (Programmable Logic Array ). The processor 601 may also include a main processor, which is a processor for processing data in an awake state, also called a CPU (Central Processing Unit ), and a coprocessor; a coprocessor is a low-power processor for processing data in a standby state. In some embodiments, the processor 601 may integrate a GPU (Graphics Processing Unit, image processor) for rendering and drawing of content required to be displayed by the display screen. In some embodiments, the processor 601 may also include an AI (Artificial Intelligence ) processor for processing computing operations related to machine learning.

The memory 602 may include one or more computer-readable storage media, which may be non-transitory. The memory 602 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in memory 602 is used to store at least one instruction for execution by processor 601 to implement a display method of user-generated content provided by a method embodiment in the present disclosure.

In some embodiments, the terminal 600 may further optionally include: a peripheral interface 603, and at least one peripheral. The processor 601, memory 602, and peripheral interface 603 may be connected by a bus or signal line. The individual peripheral devices may be connected to the peripheral device interface 603 via buses, signal lines or a circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 604, a touch display 605, a camera 606, a camera assembly 606, an audio circuit 607, a positioning assembly 608, and a power supply 609.

Peripheral interface 603 may be used to connect at least one Input/Output (I/O) related peripheral to processor 601 and memory 602. In some embodiments, the processor 601, memory 602, and peripheral interface 603 are integrated on the same chip or circuit board; in some other embodiments, either or both of the processor 601, memory 602, and peripheral interface 603 may be implemented on separate chips or circuit boards, which is not limited in this embodiment.

The Radio Frequency circuit 604 is configured to receive and transmit RF (Radio Frequency) signals, also known as electromagnetic signals. The radio frequency circuit 604 communicates with a communication network and other communication devices via electromagnetic signals. The radio frequency circuit 604 converts an electrical signal into an electromagnetic signal for transmission, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 604 includes: antenna systems, RF transceivers, one or more amplifiers, tuners, oscillators, digital signal processors, codec chipsets, subscriber identity module cards, and so forth. The radio frequency circuit 604 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocol includes, but is not limited to: the world wide web, metropolitan area networks, intranets, generation mobile communication networks (2G, 3G, 4G, and 5G), wireless local area networks, and/or WiFi (Wireless Fidelity ) networks. In some embodiments, the radio frequency circuitry 604 may also include NFC (Near Field Communication, short range wireless communication) related circuitry, which is not limited by the present disclosure.

The display screen 605 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display 605 is a touch display, the display 605 also has the ability to collect touch signals at or above the surface of the display 605. The touch signal may be input as a control signal to the processor 601 for processing. At this point, the display 605 may also be used to provide virtual buttons and/or virtual keyboards, also referred to as soft buttons and/or soft keyboards. In some embodiments, the display 605 may be one, providing a front panel of the terminal 600; in other embodiments, the display 605 may be at least two, respectively disposed on different surfaces of the terminal 600 or in a folded design; in still other embodiments, the display 605 may be a flexible display, disposed on a curved surface or a folded surface of the terminal 600. Even more, the display 605 may be arranged in a non-rectangular irregular pattern, i.e., a shaped screen. The display 605 may be made of LCD (Liquid Crystal Display ), OLED (Organic Light-Emitting Diode) or other materials.

The camera assembly 606 is used to capture images or video. Optionally, the camera assembly 606 includes a front camera and a rear camera. Typically, the front camera is disposed on the front panel of the terminal and the rear camera is disposed on the rear surface of the terminal. In some embodiments, the at least two rear cameras are any one of a main camera, a depth camera, a wide-angle camera and a tele camera, so as to realize that the main camera and the depth camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize a panoramic shooting and Virtual Reality (VR) shooting function or other fusion shooting functions. In some embodiments, camera assembly 606 may also include a flash. The flash lamp can be a single-color temperature flash lamp or a double-color temperature flash lamp. The dual-color temperature flash lamp refers to a combination of a warm light flash lamp and a cold light flash lamp, and can be used for light compensation under different color temperatures.

The audio circuit 607 may include a microphone and a speaker. The microphone is used for collecting sound waves of users and environments, converting the sound waves into electric signals, and inputting the electric signals to the processor 601 for processing, or inputting the electric signals to the radio frequency circuit 604 for voice communication. For the purpose of stereo acquisition or noise reduction, a plurality of microphones may be respectively disposed at different portions of the terminal 600. The microphone may also be an array microphone or an omni-directional pickup microphone. The speaker is used to convert electrical signals from the processor 601 or the radio frequency circuit 604 into sound waves. The speaker may be a conventional thin film speaker or a piezoelectric ceramic speaker. When the speaker is a piezoelectric ceramic speaker, not only the electric signal can be converted into a sound wave audible to humans, but also the electric signal can be converted into a sound wave inaudible to humans for ranging and other purposes. In some embodiments, the audio circuit 607 may also include a headphone jack.

The location component 608 is used to locate the current geographic location of the terminal 600 to enable navigation or LBS (Location Based Service, location based services). The positioning component 608 may be a positioning component based on the United states GPS (Global Positioning System ), the Beidou system of China, the Granati system of Russia, or the Galileo system of Russian European Union.

A power supply 609 is used to power the various components in the terminal 600. The power source 609 may be alternating current, direct current, disposable battery or rechargeable battery. When the power source 609 includes a rechargeable battery, the rechargeable battery may be a supporting wired rechargeable battery or a wireless rechargeable battery. The wired rechargeable battery is a battery charged through a wired line, and the wireless rechargeable battery is a battery charged through a wireless coil. The rechargeable battery may also be used to support fast charge technology.

In some embodiments, the terminal 600 further includes one or more sensors 610. The one or more sensors 610 include, but are not limited to: acceleration sensor 611, gyroscope sensor 612, pressure sensor 613, fingerprint sensor 614, optical sensor 615, and proximity sensor 616.

The acceleration sensor 611 can detect the magnitudes of accelerations on three coordinate axes of the coordinate system established with the terminal 600. For example, the acceleration sensor 611 may be used to detect components of gravitational acceleration in three coordinate axes. The processor 601 may control the touch display screen 605 to display a user interface in a landscape view or a portrait view according to the gravitational acceleration signal acquired by the acceleration sensor 611. The acceleration sensor 611 may also be used for the acquisition of motion data of a game or a user.

The gyro sensor 612 may detect a body direction and a rotation angle of the terminal 600, and the gyro sensor 612 may collect a 3D motion of the user on the terminal 600 in cooperation with the acceleration sensor 611. The processor 601 may implement the following functions based on the data collected by the gyro sensor 612: motion sensing (e.g., changing UI according to a tilting operation by a user), image stabilization at shooting, game control, and inertial navigation.

The pressure sensor 613 may be disposed at a side frame of the terminal 600 and/or at a lower layer of the touch screen 605. When the pressure sensor 613 is disposed at a side frame of the terminal 600, a grip signal of the terminal 600 by a user may be detected, and a left-right hand recognition or a shortcut operation may be performed by the processor 601 according to the grip signal collected by the pressure sensor 613. When the pressure sensor 613 is disposed at the lower layer of the touch display screen 605, the processor 601 controls the operability control on the UI interface according to the pressure operation of the user on the touch display screen 605. The operability controls include at least one of a button control, a scroll bar control, an icon control, and a menu control.

The fingerprint sensor 614 is used for collecting the fingerprint of the user, and the processor 601 identifies the identity of the user according to the fingerprint collected by the fingerprint sensor 614, or the fingerprint sensor 614 identifies the identity of the user according to the collected fingerprint. Upon recognizing that the user's identity is a trusted identity, the processor 601 authorizes the user to perform relevant sensitive operations including unlocking the screen, viewing encrypted information, downloading software, paying for and changing settings, etc. The fingerprint sensor 614 may be provided on the front, back, or side of the terminal 600. When a physical key or vendor Logo is provided on the terminal 600, the fingerprint sensor 614 may be integrated with the physical key or vendor Logo.

The optical sensor 615 is used to collect ambient light intensity. In one embodiment, processor 601 may control the display brightness of touch display 605 based on the intensity of ambient light collected by optical sensor 615. Specifically, when the intensity of the ambient light is high, the display brightness of the touch display screen 605 is turned up; when the ambient light intensity is low, the display brightness of the touch display screen 605 is turned down. In another embodiment, the processor 601 may also dynamically adjust the shooting parameters of the camera assembly 606 based on the ambient light intensity collected by the optical sensor 615.

A proximity sensor 616, also referred to as a distance sensor, is typically provided on the front panel of the terminal 600. The proximity sensor 616 is used to collect the distance between the user and the front of the terminal 600. In one embodiment, when the proximity sensor 616 detects a gradual decrease in the distance between the user and the front face of the terminal 600, the processor 601 controls the touch display 605 to switch from the bright screen state to the off screen state; when the proximity sensor 616 detects that the distance between the user and the front surface of the terminal 600 gradually increases, the processor 601 controls the touch display screen 605 to switch from the off-screen state to the on-screen state.

Those skilled in the art will appreciate that the structure shown in fig. 6 is not limiting of the terminal 600 and may include more or fewer components than shown, or may combine certain components, or may employ a different arrangement of components.

Fig. 7 is a schematic structural diagram of a server according to an embodiment of the present disclosure, where the server 700 may have a relatively large difference due to different configurations or performances, and may include one or more processors (Central Processing Units, CPU) 701 and one or more memories 702, where at least one instruction is stored in the memories 702, and the at least one instruction is loaded and executed by the processors 701 to implement the method for displaying user generated content provided in the foregoing method embodiments. Of course, the server 700 may also have a wired or wireless network interface, a keyboard, an input/output interface, and other components for implementing the functions of the device, which are not described herein.

In an exemplary embodiment, there is also provided a computer-readable storage medium storing at least one instruction therein, the at least one instruction being loaded and executed by a server to implement the display method of user-generated content in the above embodiment. The computer readable storage medium may be a memory. For example, the computer readable storage medium may be a ROM (Read-Only Memory), a RAM (Random Access Memory ), a CD-ROM (Compact Disc Read-Only Memory), a magnetic tape, a floppy disk, an optical data storage device, and the like.

It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program for instructing relevant hardware, where the program may be stored in a computer readable storage medium, and the above storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

The foregoing is merely an alternative embodiment of the present disclosure and is not intended to limit the present disclosure, and any modifications, equivalent substitutions, improvements, etc. that fall within the spirit and principles of the present disclosure are intended to be included in the scope of the present disclosure.

Claims

1. A method of displaying user-generated content, the method comprising:

Displaying at least one second target topic label in a topic list interface;

the determining at least one first target topic tag associated with at least one of the UGCs comprises:

determining at least one topic tag associated with at least one of the UGCs;

selecting at least one first target topic label with a second number larger than a first preset threshold value from at least one topic label;

the counting of the first number of each behavior category under each first target topic label according to at least one user behavior data comprises the following steps:

according to the selected third quantity, carrying out normalization processing on the third quantity of each behavior category under each first target topic label to obtain the first quantity of each behavior category under each first target topic label;

Determining at least one second target topic tag from at least one first target topic tag according to the first number of each behavior category under each first target topic tag, including:

2. The method of claim 1, wherein determining the influence of each of the behavior categories on the first target topic label based on the first number of each of the behavior categories and the fourth number of each of the behavior categories under each of the first target topic labels comprises:

3. The method according to claim 1, wherein the method further comprises:

4. The method of claim 1, wherein after the displaying the at least one second target topic label in the topic list interface, the method further comprises:

5. The method of claim 1, wherein after said determining at least one first target topic tag associated with at least one of said UGCs, the method further comprises:

6. A computer device comprising one or more processors and one or more memories having stored therein at least one instruction loaded and executed by the one or more processors to implement the operations performed by the method of displaying user-generated content of any of claims 1 to 5.