CN111159551A

CN111159551A - Display method and device of user-generated content and computer equipment

Info

Publication number: CN111159551A
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: 2020-05-15
Anticipated expiration: 2039-12-30
Also published as: CN111159551B

Abstract

The disclosure discloses a display method and device of user generated content and computer equipment, and belongs to the technical field of internet. The method comprises the following steps: acquiring at least one user behavior data within a first designated time period; determining at least one first target topic tag associated with at least one UGC; 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 tag from the at least one first target topic tag according to the first number of each behavior category under each first target topic tag; displaying the at least one second target topic tag 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 the topic label is ranked according to the user behavior data, and the topic label with high attention is displayed, so that the user can select interested contents, and the information acquisition efficiency is improved.

Description

Display method and device of user-generated content and computer equipment

Technical Field

The present disclosure relates to the field of internet technologies, and in particular, to a method and an apparatus for displaying user-generated content, and a computer device.

Background

With the development of internet technology, users can not only trade through O2O (Online To Offline) service, but also publish UGC (User generated content) in an internet trading platform of O2O service. With the increase of internet users, the content of UGC in the internet transaction platform is more and more. Users can screen and know commodities through UGC published by other users in the Internet transaction platform. The UGC can issue UGC for any topic in the Internet trading platform for the user, for example, the UGC can be word dynamics issued by the user and carrying topic labels, evaluation on a trading process or a trading object, and the like.

Disclosure of Invention

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

in one aspect, a method for displaying user-generated content is provided, the method including:

acquiring at least one user behavior data within a first designated time period, wherein the user behavior data comprises behavior categories and user generated content UGC, and the UGC is associated with topic tags;

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 tag from at least one first target topic tag according to the first number of each behavior category under each first target topic tag;

displaying at least one of the second target topic tags 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 quantity of UGC associated with each of the hashtags based on at least one of the user behavior data;

selecting at least one first target topic tag from the at least one topic tag having a second number greater than a first preset threshold.

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

obtaining a third quantity 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 number for each behavior category under each of the first target topic tags;

and normalizing 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 another possible implementation, the determining at least one second target topic tag from at least one of the first target topic tags 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 each 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;

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

selecting at least one second target topic tag from at least one first target topic tag according to the attention of each first target topic tag.

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

determining a difference between a first number of each of the behavior categories and a 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 manner, the method further includes:

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

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

for a first target topic tag different from a topic tag 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 tag in the topic list interface, the method further includes:

when a triggering operation for 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 comprises:

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

according to the association degree between each first target topic label and the regional information, deleting the first target topic labels of which the association degree is greater than a second preset threshold value from at least one first target topic label.

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

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

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

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

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

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

In a 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 quantity of UGC associated with each of the hashtags based on at least one of the user behavior data; selecting at least one first target topic tag from the at least one topic tag having a second number greater than a first preset threshold.

In another possible implementation manner, the statistical module is further configured to obtain, according to at least one piece 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 number for each behavior category under each of the first target topic tags; and normalizing 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 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 each 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; determining the attention of each first target topic label according to the influence degree of each behavior category on the first target topic label and the preset weight of each first target topic label; selecting at least one second target topic tag from at least one first target topic tag according to the attention of each first target topic tag.

In another possible implementation manner, the second determining module is further configured to determine a difference between the first number of each behavior category and the fourth number of each behavior category under each first target topic tag; 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 manner, the apparatus further includes:

the second obtaining module is used for obtaining at least one third target topic label displayed on the topic list interface within a second designated time period;

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

the second setting module is used for setting the preset weight of the first target topic label as a second preset weight for a first target topic label different from the topic label in at least one third target topic label, wherein the first preset weight is smaller than the second preset weight.

In another possible implementation manner, the apparatus further includes:

the skipping module is used for skipping to a detail interface of any second target topic label when the triggering operation of the second target topic label is received;

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

In another possible implementation manner, the apparatus further includes:

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

and the deleting module is used for deleting the first target topic tags of which the association degrees are greater than a second preset threshold from at least one first target topic tag according to the association degrees between each first target topic tag and the regional 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 that is loaded and executed by the one or more processors to implement operations performed by a method of displaying user-generated content as described in method embodiments of the present disclosure.

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

In the embodiment of the disclosure, at least one user behavior data within a first specified time period is obtained, 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 UGC; 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 tag from the at least one first target topic tag according to the first number of each behavior category under each first target topic tag; displaying the at least one second target topic tag in the topic list interface. The method comprises the steps of obtaining at least one first target topic label through user behavior data, determining at least one second target topic label according to the number of behavior categories under the at least one target topic label, and displaying the at least one second target topic label in a topic list interface, so that the topic labels are ranked according to the user behavior data, the topic labels with high user attention are selected, the topic labels with high attention are displayed, a user can select interesting contents according to the displayed topic labels, and the 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 present disclosure and together with the description, serve to explain the principles of the disclosure.

FIG. 1 is a diagram illustrating a system architecture involved in a method for displaying user-generated content according to an exemplary embodiment of a portion of the present disclosure;

FIG. 2 is a flow diagram illustrating a method for displaying user-generated content in accordance with an exemplary embodiment;

FIG. 3 is a flow diagram illustrating a method for displaying user-generated content in accordance with an exemplary embodiment;

FIG. 4 is a flow diagram illustrating a method for displaying user-generated content in accordance with an exemplary embodiment;

FIG. 5 is a block diagram illustrating a display device for user-generated content in accordance with an exemplary embodiment;

FIG. 6 is a block diagram illustrating the structure of a terminal according to one exemplary embodiment;

fig. 7 is a schematic diagram illustrating a configuration of a server according to an example embodiment.

Detailed Description

To make the objects, technical solutions and advantages of the present disclosure more apparent, embodiments of the present disclosure will be described in detail with reference to the accompanying drawings.

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

Fig. 1 is a system architecture diagram illustrating a method for displaying user-generated content according to an exemplary embodiment 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 installed with an internet transaction platform, the internet transaction platform is an internet transaction platform with a function of publishing the UGC, and the user may approve, comment, forward, collect, or appreciate the UGC in the internet transaction platform through the internet transaction platform. Accordingly, the user may issue a user behavior through the internet transaction platform installed on the second computer device 102, receive at least one user behavior data generated according to the user operation, and send the at least one user behavior data to the first computer device 101, where the user behavior data includes a behavior category of the user and UGC corresponding to the behavior category.

The behavior category can be behaviors of publishing UGC or promoting target objects in the Internet trading platform, or behaviors of giving up, commenting, forwarding, collecting or appreciating UGC published by other users or target objects promoted in the Internet trading platform. The UGC may be a statement made by a user and unrelated to a target object, and the UGC may also be a comment made to a 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 sends the UGC input by the user to the first computer device 101. In addition, the UGC may carry a topic tag, the topic tag may be a user tag actively added by the user according to the content of the UGC, and the topic tag may also be a topic tag generated by the second computer device 102 according to the content of the UGC. And, the number of topic tags carried in the UGC can be set and adjusted as needed. In the embodiments of the present disclosure, this is not particularly limited.

The first computer device 101 may receive at least one user behavior data transmitted by at least one second computer device 102, determine a hashtag associated with the at least one user behavior data from the received at least one user behavior data, and determine at least one first target hashtag from the hashtag associated with the at least one user behavior data. The first computer device 101 and the at least one second computer device 102 may both be terminals equipped with an internet transaction platform, and correspondingly, the first computer device 101 and the at least one second computer device 102 may be mobile phones, computers, tablet computers, wearable devices, or the like.

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 a server cluster formed by a plurality of servers. When the first computer device 101 is a server, the first computer device 101 may transmit the at least one first target topic tag to a third computer device for displaying the at least one first target topic tag.

Fig. 2 is a flowchart illustrating a method for displaying user-generated content according to an exemplary embodiment, where the method for displaying user-generated content, as shown in fig. 2, includes the following steps:

step 201: the method comprises the steps of obtaining at least one user behavior data within a first appointed time period, wherein the user behavior data comprise behavior categories and user generated content UGC, and related topic labels in the UGC.

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

Step 203: and counting a first number of each behavior category under each first target topic label according to at least one user behavior data.

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: displaying the at least one second target topic tag in the topic list interface.

In one possible implementation, determining at least one first target topic tag of at least one UGC association includes:

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

determining a second quantity of UGC associated with each topic tag based on the at least one user behavior data;

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

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

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

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

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;

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

In another possible implementation manner, determining the influence of each behavior category on each 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 between the first number of each behavior category and the fourth number of each behavior category under each first target topic label;

In another possible implementation manner, the method further includes:

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

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

for a first target topic label different from the topic label in the at least one third target topic label, setting the preset weight of the first target topic label as a second preset weight, wherein the first preset weight is smaller than the second preset weight.

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

when the 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 the target object corresponding to the second target topic label in the detail interface.

In another possible implementation, after determining at least one first target topic tag of at least one UGC association, the method further comprises:

determining the association degree between each first target topic label and the regional information;

and according to the association degree between each first target topic label and the area information, deleting the first target topic labels of which the association degree is greater than a second preset threshold value from at least one first target topic label.

In the embodiment of the disclosure, at least one user behavior data within a first specified time period is obtained, 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 UGC; 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 tag from the at least one first target topic tag according to the first number of each behavior category under each first target topic tag; displaying the at least one second target topic tag in the topic list interface. The method comprises the steps of obtaining at least one first target topic label through user behavior data, determining at least one second target topic label according to the number of behavior categories under the at least one target topic label, and displaying the at least one second target topic label in a topic list interface, so that the topic labels are ranked according to the user behavior data, the topic labels with high attention are displayed, a user can select interesting contents according to the displayed topic labels, and the information obtaining efficiency is improved.

Fig. 3 is a flowchart illustrating a method for displaying user-generated content according to an exemplary embodiment, where the method for displaying user-generated content, as shown in fig. 3, includes the steps of:

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

And the user sends at least one piece of user behavior data through the second computer equipment, and the second computer equipment records at least one piece of user behavior data published by the user. Referring to fig. 4, the first computer device periodically obtains at least one user behavior data for the user in the at least one second computer device. The first computer device acquires at least one piece of user behavior data of the user in at least one second computer device once every first specified time period within the first specified time period.

In a possible implementation manner, when receiving user behavior data input by a user, the second computer device uploads the user behavior data to a server corresponding to the internet transaction platform, and the first computer device may obtain, from the server, at least one user data uploaded by at least one second computer device every first specified time period.

In another possible implementation manner, the first computer device is a server corresponding to the internet transaction platform, and correspondingly, 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 within a first specified time period.

The user behavior data comprises behavior categories and user generated content UGC, and the UGC is associated with topic tags. The first computer device may first determine whether the 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 a possible implementation manner, when the second computer device uploads the user behavior data, it may also be determined whether the UGC corresponding to the user behavior data is associated with a topic tag, when the UGC corresponding to the user behavior data is associated with the topic tag, the user behavior data associated with the topic tag is uploaded, and the first server may directly obtain the user behavior data associated with the topic tag.

In the embodiment of the disclosure, the first computer device only acquires the user behavior data of the associated topic tag, so that the acquired topic tags are all the topic tags mentioned in the first computer device, thereby preventing the topic tags from being determined according to UGC content, causing inaccuracy of the topic tags, forming false data, and further improving the accuracy of the user behavior data corresponding to the topic tags.

The first designated time period may be adjusted and configured as needed, and is not particularly limited in the embodiment of the present disclosure. For example, the first specified time period may be 24 hours, 48 hours, etc. prior to 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 unsatisfactory topic tags and screens out at least one first target topic tag. The first computer device determines a topic tag associated with each UGC from the obtained at least one UGC, and determines at least one first target topic tag according to the topic tags associated with the at least one UGC. The process may be realized by the following steps (a1) - (A3), including:

(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 can be associated with at least one topic tag, the computer device can count each topic tag associated with the UGC and determine the at least one topic tag according to each topic tag associated with the at least one UGC.

(A2) The first computer device determines a second quantity of UGC associated with each topic tag from the at least one user behavior data.

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

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

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

In this implementation, the first computer device eliminates the first target topic tags, of the at least one first target topic tag, where the second quantity of the UGC corresponding to the first target topic tag is smaller than the first preset threshold, so as to screen out the second target topic whose second quantity is greater than the first preset threshold, and the topic tags are screened out through the quantity of the UGC under the first target topic tag, so as to obtain at least one first target topic tag, thereby screening out topic tags having practical significance, and preventing only a small quantity of UGC, but preventing the invalid first target topic tag with excessively high user behavior data, thereby preventing the influence of the invalid first target topic tag on the first target topic tag, and improving the validity of the first target topic tag.

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

(B1) the first computer device determines a degree of association between each first target topic tag and the regional information.

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

The keywords in the regional information keyword library may be place names, festival names related to regions, custom names related to regions, dialects, or 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 splash water festival, a vegetarian festival, or the like.

(B2) The first computer device deletes the first target topic tags, the association degrees of which are greater than a second preset threshold value, from the at least one first target topic tag according to the association degrees between each first target topic tag and the regional information.

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

The second preset threshold may be set and changed as needed, and is not particularly limited in the embodiment of the present disclosure. For example, the second preset threshold may be 0.6, 0.8, 0.9, or the like.

In this implementation manner, the first computer device determines the degree of association between the first target topic label and the region information, and removes the first target topic label related to the region information from the first target topic label, so as to remove the topic label unsuitable for remote distribution, so that the screened topic label meets the requirements of most users.

Step 303: the first computer device counts a first number of each behavior category under each first target topic tag based on the at least one user behavior data.

The at least one user behavior data includes 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 the number of UGCs under the first target topic tag, the number of praise corresponding to all the UGCs, the number of forwarding corresponding to all the UGCs, the number of collections corresponding to all the UGCs, and the like.

Wherein the first number may be a total number corresponding to each behavior category on the first target topic; the first number may also be an increasing number of each behavior category for a first specified time period on a first target topic. In the embodiments of the present disclosure, this is not particularly limited.

For each behavior category, the first computer device respectively counts the number corresponding to the behavior category, and in a possible implementation manner, the first computer device takes the number corresponding to each behavior category as the first number. In another possible implementation, with continued reference to fig. 4, the first computer device normalizes the data. The first computer device normalizes the number corresponding to each behavior category to obtain a first number of the normalized behavior categories. Wherein the process of obtaining the first number after the normalization processing can be realized by the following steps (1) - (3), including:

(1) the first computer device obtains a third number for each behavior category under each first target topic tag based on the at least one user behavior data.

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

(2) The first computer device selects a maximum third number from the third number for each behavior category under each first target topic tag.

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

(3) The first computer device normalizes 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 tag. In one possible implementation, the first computer device determines a maximum normalized value of the third number corresponding to the behavior category as 1; determining the ratio of the third quantity corresponding to the behavior category under other first target topic tags to the maximum third quantity, and determining the normalized first quantity corresponding to the behavior category under the first target topic tag according to the ratio. In another possible implementation manner, the first computer device performs normalization processing on the third quantity through log function conversion, and the normalization processing can be realized through the following formula one.

The formula I is as follows: x is the number of^*＝log₁₀(x)/log₁₀(max(x))

Wherein x is^*Is the normalized value of the third quantity, i.e., the first quantity, x is the third quantity, and max (x) is the maximum third quantity. It should be noted that, in order to avoid the situation that the log value is not a solution, in the embodiment of the present disclosure, x and max may also be processed separately, for example, x is processed separatelyAnd max is processed by adding 1. In addition, the first formula is only a way of normalizing the third number by a logarithm method, and in the embodiment of the present disclosure, the base number of the logarithm in the formula is not specifically limited, for example, the base number may be a natural number e. Accordingly, the formula one can also be expressed as: x is the number of^*And (x +1)/ln (max (x) + 1).

In the implementation mode, the third behavior quantity corresponding to each behavior category is normalized, so that the difference of orders of magnitude 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 for each behavior category based on the first number for each behavior category under each first target topic tag.

Wherein the fourth number is a value that can be used to represent an average of the first number for the same behavior category for the at least one first target topic tag. For example, the fourth number may be an average of the first number of the same behavior category to which the at least one first target topic tag 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, for each behavior category, the first computer device determines, according to a first number corresponding to the behavior category under each first target topic tag, a total number of the behavior categories corresponding to the at least one first target topic tag, determines a quotient of the total number of the behavior categories under the at least one first target topic tag and the at least one first target topic tag, and determines the quotient of the total number of the behavior categories under the at least one first target topic tag and the at least one first target topic tag as a fourth number.

In another 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 tag, a maximum first number and a minimum first number corresponding to the behavior category, divides the sum of the maximum first number and the minimum first number by 2 to obtain a median corresponding to the behavior category, and takes the median as a fourth number.

In this implementation, 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 first target topic label as the downlink category, so that the influence of any behavior category on the target topic is prevented from being increased due to the excessive increase of the number, and the judgment of the influence of the behavior category on the first target topic is prevented from being influenced.

Step 305: the first computer device determines a degree of influence of each behavior category on the first target topic tag based on the first number of each behavior category and the fourth number of each behavior category under each first target topic tag.

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

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

Wherein when the difference between the first number and the fourth number is greater than zero, determining that the influence degree of the behavior class on the first target topic tag is a positive influence degree under the first target topic tag; when the difference between the first number and the fourth number is less than zero, determining that the degree of influence of the behavior category on the first target topic tag is a negative degree of influence under the first target topic tag.

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

The influence degrees of different behavior categories on the first target topic tag are different, for example, for the same first target topic tag, the influence degree of the UGC carrying the first target topic tag on the first target topic tag is released, and is greater than the influence degree of the UGC under the first target topic tag on the operation of praise on the UGC. Thus, the weight of the degree of influence of each behavior category on the first target topic tag may be determined according to the degree of influence of the different behavior categories on the first target topic tag.

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, commenting and commenting UGC; the weight corresponding to each behavior category may be: 0.5, 0.2 and 0.3.

In this step, the first computer device determines the degree of influence of the behavior category according to the difference value of the first target behavior category, thereby preventing the degree of influence of any behavior category on the target topic from increasing so much as to result in the judgment of the degree of influence of the behavior category on the first target topic.

Step 306: the first computer device determines a degree of interest of each first target topic tag according to the degree of influence of each behavior category on the first target topic tag and a preset weight of each first target topic tag.

The preset weight of each first target topic tag may be the same or different.

In one possible implementation, when the preset weight of each first target topic tag is the same, the first computer device may regard the sum of the influence degree of the behavior category in each first target topic tag on the first target topic tag as the attention degree of the first target topic tag.

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

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

(1) the first computer device obtains at least one third target topic label that has been displayed by the topic list interface within the second specified time period.

The second specified time period is a time period before the first specified time period, and the specified time lengths corresponding to the first specified time period and the second specified time period may be the same or different. For example, the specified time lengths corresponding to the first specified time period and the second specified time period may be the same, and the specified time lengths corresponding to the first specified time period and the second specified time period may be both 24h or 48h, and so on. The first designated time period refers to a time period corresponding to the designated time period from the current time, and the second designated time period refers to a time period corresponding to the designated time period from the designated time before the current time. For example, the first designated time period refers to a time period corresponding to 24 hours before the current time, and the second designated time period refers to a time period corresponding to 24 hours before the current time from 6 hours before the current time.

The first computer device displays different target topic tags at different time periods according to the attention degrees of the different target topic tags. 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.

In addition, a plurality of sets of the third target topic tags may be displayed in the second predetermined period, and only one set of the target topic tags may be displayed in the second predetermined period. When multiple sets of third target topic tags are displayed within the second specified time period, the first computer device may display all topic tags corresponding to the multiple sets of third target topic tags, and the first computer device may also display only one set of third target topic tags closest to the current time, which is not specifically 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 that is different from a 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 an undisplayed first target topic tag from the at least one first target topic tag according to the at least one third target topic tag, and sets a preset weight of the undisplayed first target topic tag as a second preset weight. The first preset weight is smaller than the second preset weight.

In this implementation manner, by setting the preset weight of the displayed first target topic tag to be smaller than the preset weight of the undisplayed first target topic tag, the weight reduction processing is appropriately performed on the displayed first target topic tag, so that the latest topic tag can be displayed, and the exposure rate of the newly generated topic tag is increased.

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

Step 307: the first computer device selects at least one second target topic tag from the at least one first target topic tag based on the degree of interest of each first target topic tag.

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

The preset attention and the preset number may be set and changed as needed, and are not specifically 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 predetermined number may be 8, 10, 12, etc.

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

The first computer device can display a skip interface of the topic list interface, and when the skip interface of the topic list interface is triggered, the first computer device 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 the order of the degree of attention from small to large according to the degree of attention of the second target topic label.

The topic list interface further receives a triggering operation on any second target topic label, when the first computer device receives the triggering operation on any second target topic label, the first computer device jumps to a detail interface corresponding to the second target topic label, and 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 for any second target topic tag is received, the first computer device jumps to a detail interface of the second target topic tag.

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

(2) And the first computer equipment 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.

And at least one UGC content corresponding to the second target topic tag comprises the UGC carrying the second target topic tag and the UGC published in the detail interface of the second target topic tag.

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

It is noted that, with continued reference to fig. 4, the first computer device may also perform manual maintenance on the second target topic tag. Correspondingly, UGC and the target object in the detail interface under each second target topic label can be further 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 geographical 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 a target object corresponding to the second target topic label.

Another point to be explained is that, after determining at least one second target topic tag displayed in the topic list interface, the first computer device may further receive a display change operation on the topic list operation interface. In the display modification operation, a modified target topic tag is carried, wherein the target topic tag can be a topic tag in at least one second target topic tag, and the target topic tag can also be a new topic tag; the display change operation further includes the operation content of the target topic tag, and the operation content may include changing the display order of the target topic tag.

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

In addition, the display change operation may also carry a duration of the display change operation, for example, as described in the foregoing example, the display change operation may also carry a duration of the specified operation, and accordingly, after the first computer device receives the display change operation, the second target topic tag may be top-displayed in the topic list within the duration of the operation.

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

It should be noted that the first computer device may display the at least one second target topic tag in a display interface of the first computer device; the first computer device may also display the at least one second target topic tag in the other computer device. Accordingly, the first computer device may transmit the at least one second target hashtag to a third computer device, the third computer device receiving the at least one second target hashtag, and displaying the at least one second target hashtag in a display interface of the third computer device. The process of displaying the at least one second target topic tag by the third computer device is similar to the process of displaying the at least one second target topic tag by the first computer device, and is not repeated here.

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

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

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

a counting 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 tag;

a second determining module 504, configured to determine at least one second target topic tag from the at least one first target topic tag 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 tag in the topic list interface.

In a 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 quantity of UGC associated with each topic tag based on the at least one user behavior data; selecting at least one first target topic tag from the at least one topic tag having a second number greater than a first preset threshold.

In another possible implementation manner, the statistical 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 quantity from the third quantities of each behavior category under each first target topic label; and normalizing 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 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 tag; 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; determining the attention of each first target topic label according to the influence degree of each behavior category on the first target topic label and the preset weight of each first target topic label; and selecting at least one second target topic label from the 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 504 is further configured to determine a difference between the first number of each behavior category and the 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 manner, 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 at least one third target topic label;

the second setting module is used for setting the preset weight of the first target topic label as a second preset weight for the first target topic label different from the topic label in the at least one third target topic label, and the first preset weight is smaller than the second preset weight.

In another possible implementation manner, the apparatus further includes:

the skipping module is used for skipping to a detail interface of the second target topic label when the triggering operation of any second target topic label is received;

In another possible implementation manner, the apparatus further includes:

the third determining module is used for determining the association degree between each first target topic label and the regional information;

and the deleting module is used for deleting the first target topic labels of which the association degrees are greater than a second preset threshold value from at least one first target topic label according to the association degrees between each first target topic label and the regional information.

It should be noted that: in the display device for user-generated content provided in the above embodiment, when displaying the user-generated content, only the division of the above functional modules is taken as an example, and in practical applications, the above function distribution may be completed by different functional modules according to needs, that is, the internal structure of the terminal is divided into different functional modules to complete all or part of the above described functions. In addition, the display apparatus of the user-generated content and the display method embodiment of the user-generated content provided by the above embodiments belong to the same concept, and specific implementation processes thereof are detailed in the method embodiments and are not described herein again.

Fig. 6 shows a block diagram of a terminal 600 according to 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 video Experts compression standard Audio Layer 3), an MP4 player (Moving Picture Experts Group Audio Layer iv, motion video Experts compression standard Audio Layer 4), a notebook computer, or a desktop computer. The terminal 600 may also be referred to by other names such as user equipment, portable terminal, laptop terminal, desktop terminal, etc.

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

The processor 601 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 601 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 601 may also include a main processor and a coprocessor, where the main processor is a processor for processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 601 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. In some embodiments, processor 601 may also include an AI (Artificial Intelligence) processor for processing computational 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 method of displaying user-generated content provided by method embodiments 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 buses or signal lines. Various peripheral devices may be connected to the peripheral interface 603 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of a radio frequency circuit 604, a touch screen display 605, a camera 606, a camera assembly 606, an audio circuit 607, a positioning component 608, and a power supply 609.

The peripheral interface 603 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 601 and the 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, any one or two of the processor 601, the memory 602, and the peripheral interface 603 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.

The Radio Frequency circuit 604 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 604 communicates with communication networks and other communication devices via electromagnetic signals. The rf circuit 604 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 604 comprises: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 604 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: the world wide web, metropolitan area networks, intranets, generations of mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the radio frequency circuit 604 may also include NFC (Near Field Communication) related circuits, which are not limited by this disclosure.

The display 605 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 605 is a touch display screen, the display screen 605 also has the ability to capture touch signals on or over the surface of the display screen 605. The touch signal may be input to the processor 601 as a control signal for processing. At this point, the display 605 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display 605 may be one, providing the 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 on 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), and the like.

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

Audio circuitry 607 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, 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 to realize voice communication. For the purpose of stereo sound collection or noise reduction, a plurality of microphones may be provided at different portions of the terminal 600. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 601 or the radio frequency circuit 604 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, audio circuitry 607 may also include a headphone jack.

The positioning component 608 is used to locate the current geographic location of the terminal 600 to implement navigation or LBS (location based Service). The positioning component 608 can be a positioning component based on the GPS (global positioning System) in the united states, the beidou System in china, the graves System in russia, or the galileo System in the russian eu.

Power supply 609 is used to provide power to the various components in terminal 600. The power supply 609 may be ac, dc, disposable or rechargeable. When the power supply 609 includes a rechargeable battery, the rechargeable battery may be a support 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 also includes one or more sensors 610. The one or more sensors 610 include, but are not limited to: acceleration sensor 611, gyro sensor 612, pressure sensor 613, fingerprint sensor 614, optical sensor 615, and proximity sensor 616.

The acceleration sensor 611 may detect the magnitude of acceleration in 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 the gravitational acceleration in three coordinate axes. The processor 601 may control the touch screen display 605 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 611. The acceleration sensor 611 may also be used for 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 and the acceleration sensor 611 may cooperate to acquire a 3D motion of the user on the terminal 600. The processor 601 may implement the following functions according to the data collected by the gyro sensor 612: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.

The pressure sensor 613 may be disposed on a side frame of the terminal 600 and/or on a lower layer of the touch display screen 605. When the pressure sensor 613 is disposed on the side frame of the terminal 600, a user's holding signal of the terminal 600 can be detected, and the processor 601 performs left-right hand recognition or shortcut operation according to the holding 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 control comprises 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 a fingerprint of a 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 identifying 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, and changing settings, etc. The fingerprint sensor 614 may be disposed on the front, back, or side of the terminal 600. When a physical button or vendor Logo is provided on the terminal 600, the fingerprint sensor 614 may be integrated with the physical button or vendor Logo.

The optical sensor 615 is used to collect the ambient light intensity. In one embodiment, processor 601 may control the display brightness of touch display 605 based on the ambient light intensity collected by optical sensor 615. Specifically, when the ambient light intensity is high, the display brightness of the touch display screen 605 is increased; 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 according to the ambient light intensity collected by the optical sensor 615.

A proximity sensor 616, also known as a distance sensor, is typically disposed on the front panel of the terminal 600. The proximity sensor 616 is used to collect the distance between the user and the front surface of the terminal 600. In one embodiment, when the proximity sensor 616 detects that the distance between the user and the front surface of the terminal 600 gradually decreases, the processor 601 controls the touch display 605 to switch from the bright screen state to the dark screen state; when the proximity sensor 616 detects that the distance between the user and the front surface of the terminal 600 gradually becomes larger, the processor 601 controls the touch display 605 to switch from the breath screen state to the bright screen state.

Those skilled in the art will appreciate that the configuration shown in fig. 6 is not intended to be limiting of terminal 600 and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be used.

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

In an exemplary embodiment, a computer-readable storage medium is further provided, in which at least one instruction is stored, and the at least one instruction is loaded and executed by a server to implement the display method of the user-generated content in the above-described 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 instructing relevant hardware, and the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.

The above disclosure is intended to cover alternative embodiments of the disclosure, and not to limit the disclosure to the particular forms disclosed, but on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the disclosure.

Claims

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

2. The method as recited in claim 1, wherein said determining at least one first target topic tag associated with at least one of said UGC comprises:

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

3. The method of claim 1, wherein the counting a first number of each behavior category under each first target topic tag based on at least one of the user behavior data comprises:

4. The method as recited in claim 1, wherein the determining at least one second target topic tag from at least one of the first target topic tags based on the first number of each behavior category under each first target topic tag comprises:

5. The method as recited in claim 4, wherein the determining the degree of influence of each of the behavior categories on each of the first target topic tags as a function of 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 comprises:

6. The method of claim 4, further comprising:

7. The method in accordance with claim 1, wherein after displaying the at least one second target topic tag in a toplist interface, the method further comprises:

8. The method as recited in claim 1, wherein after said determining at least one first target topic tag associated with at least one of said UGC, the method further comprises:

9. A display apparatus for user-generated content, the apparatus comprising:

10. A computer device comprising one or more processors and one or more memories having stored therein at least one instruction that is loaded and executed by the one or more processors to perform operations performed by a method of displaying user-generated content according to any one of claims 1 to 8.