CN114548787B

CN114548787B - User-generated content management method, device, electronic equipment and storage medium

Info

Publication number: CN114548787B
Application number: CN202210175131.8A
Authority: CN
Inventors: 邓兴宜; 敬蕾
Original assignee: Ping An Life Insurance Company of China Ltd
Current assignee: Ping An Life Insurance Company of China Ltd
Priority date: 2022-02-23
Filing date: 2022-02-23
Publication date: 2024-04-12
Anticipated expiration: 2042-02-23
Also published as: CN114548787A

Abstract

The embodiment of the application discloses a user generated content management method, a device, electronic equipment and a storage medium, wherein the method comprises the following steps: acquiring text information of a first user to be processed generated content, and processing the text information to obtain a plurality of characteristic values of the first user to be processed generated content under a plurality of first indexes; determining a first score of the first user to be processed generated content under each second index according to the plurality of characteristic values and a plurality of first weights of the plurality of first indexes; determining a target score of the content generated by the first user to be processed according to a plurality of second weights of the plurality of second indexes and the first score under each second index; and managing the plurality of the user-generated contents to be processed according to the target scores of the user-generated contents to be processed in the plurality of the user-generated contents to be processed.

Description

User-generated content management method, device, electronic equipment and storage medium

Technical Field

The present invention relates to the field of data processing technologies, and in particular, to a user generated content management method, a device, an electronic device, and a storage medium.

Background

With the development of the internet age, the sales mode of the online visit is originally highly dependent, and part of the sales mode needs to be replaced by the online remote visit. In the process of visiting a guest, sales agents need to use many specialized content, such as: insurance schemes, insurance diagrams, etc., for sales presentation to customers.

Professional content is typically produced by a corporate headquarter or each organization outputting standardized solutions for use by agents. However, based on different conditions such as sales habits and customer demands, different agents often need to edit and assemble the standardized schemes to form new personalized online sales schemes, i.e., to form user-generated content (User Generated Content, user-generated content). At present, companies provide online customer receiving tools for agents, plan functions such as online assembly editing and uploading of schemes, and the like, and after user generated contents of the agents are checked to be compliant, the user generated contents are displayed on a platform for all sales agents to use.

For the situation that the user generated content can be uploaded, a large amount of user generated content for online sales is generated, and how to effectively manage the user generated content is a problem to be solved at present.

Disclosure of Invention

The embodiment of the application provides a user generated content management method, a device, electronic equipment and a storage medium, which can effectively manage user generated content.

In a first aspect, an embodiment of the present application provides a method for managing user-generated content, including:

according to an analytic hierarchy process, determining a plurality of first weights of a plurality of first indexes relative to each second index, wherein the first indexes are in one-to-one correspondence with the first weights, the first indexes are used for determining basic information of user generated content, each second index is composed of part of the first indexes, and part of the first indexes corresponding to any two second indexes are completely different;

determining a plurality of second weights of a plurality of second indexes relative to a third index according to the analytic hierarchy process, wherein the plurality of second indexes are in one-to-one correspondence with the plurality of second weights, and the third index is used for determining the quality of the user generated content;

acquiring text information of first user to be processed generated content, and processing the text information to obtain a plurality of characteristic values of the first user to be processed generated content under the plurality of first indexes, wherein the first user to be processed generated content is any one of the plurality of user to be processed generated content;

Determining a first score of the first user to be processed generated content under each second index according to the plurality of characteristic values and the plurality of first weights;

determining a target score of the content generated by the first user to be processed according to the second weights and the first score under each second index;

and managing the plurality of the user-generated contents to be processed according to the target scores of the user-generated contents to be processed in the plurality of the user-generated contents to be processed.

In a second aspect, an embodiment of the present application provides a user-generated content management apparatus, including: an acquisition unit and a processing unit;

the processing unit is used for determining a plurality of first weights of a plurality of first indexes relative to each second index according to an analytic hierarchy process, wherein the first indexes are in one-to-one correspondence with the first weights, the first indexes are used for determining basic information of user generated content, each second index is composed of part of the first indexes, and the part of the first indexes corresponding to any two second indexes are completely different;

The acquisition unit is used for acquiring text information of the content generated by the first user to be processed;

the processing unit is further configured to process the text information to obtain a plurality of feature values of the first to-be-processed user generated content under the plurality of first indexes, where the first to-be-processed user generated content is any one of the plurality of to-be-processed user generated contents;

In a third aspect, an embodiment of the present application provides an electronic device, including: and a processor connected to a memory for storing a computer program, the processor being configured to execute the computer program stored in the memory, to cause the electronic device to perform the method according to the first aspect.

In a fourth aspect, embodiments of the present application provide a computer-readable storage medium storing a computer program, the computer program causing a computer to perform the method according to the first aspect.

In a fifth aspect, embodiments of the present application provide a computer program product comprising a non-transitory computer readable storage medium storing a computer program, the computer being operable to cause a computer to perform the method according to the first aspect.

The implementation of the embodiment of the application has the following beneficial effects:

it can be seen that, in the embodiment of the present application, first, a plurality of first weights of a plurality of first indexes relative to each second index and a plurality of second weights of a plurality of second indexes relative to a third index are determined by a hierarchical analysis method; the weight determined by the analytic hierarchy process is not manually set, so that the determined weight has higher precision; and then, determining the score corresponding to each first index based on a preset scoring table and the characteristic value under each first index, and finally, sequentially weighting and summing the scores corresponding to each first index according to a plurality of first weights, a plurality of second weights and the scores corresponding to each first index to obtain the target score of the generated content of each user to be processed. Finally, the target score for each user to be processed to generate a content name reflects the quality of the content generated by each user to be processed. Therefore, the method and the device manage the generated content of a plurality of users to be processed according to the target score of the generated content of each user to be processed, and provide a solution for the fine management of the generated content of the users to be processed.

Drawings

In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.

FIG. 1 is a schematic diagram of a user generated content management system provided in accordance with an embodiment of the present application;

fig. 2 is a flow chart of a user generated content management method according to an embodiment of the present application;

FIG. 3 is a schematic diagram of determining weights by an analytic hierarchy process according to an embodiment of the present application;

FIG. 4 is a flowchart illustrating another method for managing user generated content according to an embodiment of the present application;

fig. 5 is a functional unit composition block diagram of a user-generated content management apparatus according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.

Detailed Description

The following description of the embodiments of the present application will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.

The terms "first," "second," "third," and "fourth" and the like in the description and in the claims of this application and in the drawings, are used for distinguishing between different objects and not for describing a particular sequential order. Furthermore, the terms "comprise" and "have," as well as any variations thereof, are intended to cover a non-exclusive inclusion. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not limited to only those listed steps or elements but may include other steps or elements not listed or inherent to such process, method, article, or apparatus.

Reference herein to "an embodiment" means that a particular feature, result, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.

Referring to fig. 1, fig. 1 is a user generated content management system according to an embodiment of the present application. The user-generated content management system includes the first user terminal 10, the user-generated content management apparatus 20, and the second user terminal 30, wherein the users of the first user terminal 10 and the second user terminal 30 may be the same or different, which is not limited in this application.

Illustratively, the sales agent may edit the user-generated content, i.e., the online sales scheme, at the first user terminal 10 and upload the online sales scheme to the user-generated content management apparatus 20. Note that the sales agent may edit and generate the user-generated content directly on the front page of the user-generated content management apparatus 20. Accordingly, the present application is not limited in the manner in which the sales agent generates the user-generated content.

Then, the user generated content management apparatus 20 determines, according to the hierarchical analysis method, a plurality of first weights of a plurality of first indexes with respect to each of second indexes, respectively, wherein the plurality of first indexes are used for determining basic information of the user generated content, each second index is composed of a part of the plurality of first indexes, and parts of the first indexes corresponding to any two second indexes are different; then, determining a plurality of second weights of a plurality of second indexes relative to a third index according to a analytic hierarchy process, wherein the third index is used for determining the quality of the user generated content;

further, after determining a plurality of first weights and a plurality of second weights, obtaining text information of a first user to be processed generated content, and processing the text information to obtain a plurality of characteristic values of the first user to be processed generated content under a plurality of first indexes, wherein the first user to be processed generated content is any one of the plurality of user to be processed generated content; then, according to the first characteristic values and the first weights, determining a first score of the first user to be processed generated content under each second index; determining a target score of the first user to be processed generated content according to the third weights and the first score under each second index; and managing the plurality of the user-generated contents to be processed according to the target scores of the user-generated contents to be processed in the plurality of the user-generated contents to be processed.

For example, the plurality of user generated content to be processed can be displayed on the front-end visual interface according to the target score.

Correspondingly, when the user obtains the user generated content (on-line sales scheme) through the second user terminal 30, the user can see the plurality of to-be-processed user generated contents displayed in the order from high to low according to the target score (i.e. quality), so that the on-line sales scheme with the highest quality can be rapidly positioned, and the sales success rate is further improved.

Referring to fig. 2, fig. 2 is a schematic diagram of a user generated content management method according to an embodiment of the present application. The method is applied to the user-generated content management device. The method comprises the following steps:

201: according to the analytic hierarchy process, a plurality of first weights of the plurality of first indexes relative to each second index are determined.

The first indexes are used for determining basic information of user generated content, the user generated content is an online sales scheme, namely the online sales scheme edited and uploaded by a sales agent, and the first indexes are in one-to-one correspondence with the first weights. Each second index is composed of part of the first indexes, and the parts of the first indexes corresponding to any two second indexes are completely different.

Illustratively, the first plurality of metrics of the present application include, but are not limited to: the user generates the creator performance, creator span, creator personal reputation, click rate, number of browses, number of endorsements, number of collections, number of order conversions. Wherein the creator performance of the user-generated content is the total performance (e.g., total sales) of the creator prior to the user-generated content being released; the click rate is the accumulated number of browses from the time when the user generates the content to the current time; the browsing times are the browsing times from the time when the user generates the content release to the current time; the number of praise people is the number of praise people from the time when the user generates the content to the current time; the collection times are collection times from the time of content release generated by a user to the current time; the order-out conversion quantity is the quantity of successful transaction after the user generates an online sales scheme in the content from the time of content release generated by the user to the current time.

Illustratively, the second plurality of indicators of the present application includes, but is not limited to: the method comprises the steps of generating creator portraits of content by a user, consuming the content by the creator, and honoring the creator by the creator's performance, the creator's age and the creator's personal reputation, wherein the content consumption comprises click rate, number of browses and number of praise, and the service value comprises collection times and number of bill conversion.

Illustratively, the third index of the present application generates a target score for the content for the user, i.e., a quality score for the content for the user.

It should be noted that the above three second indexes are set because, for the remote visit scene (i.e. on-line sales scene), the quality of the user generated content is determined, and the key is whether the user generated content can be actually applied to the receiving client by the user and generates a service value, i.e. directly reflects the quality of the user generated content; in addition, the creator is the subject of user-generated content, whose quality is closely related to the creator's existing behavioral attributes, such as: it is difficult for a less experienced practitioner and less performing agent to create high quality user-generated content. Therefore, the representation of the creator can indirectly reflect the quality of the user-generated content; finally, the consumption of the user-generated content by other users reflects the popularity of the user-generated content on the platform, i.e. the consumption of the content can also indirectly reflect the quality of the user-generated content. Therefore, the three second indexes are set to comprehensively judge the quality of the content generated by one user, so that the judging result can be more accurate, and the management precision of the content generated by the user is further improved.

Illustratively, as shown in fig. 3, a plurality of first indexes are taken as a plurality of indexes in a scheme layer, a plurality of second indexes are taken as a plurality of indexes in a criterion layer, and a third index is taken as an index of a target layer. Therefore, according to the analytic hierarchy process, a plurality of first weights of a plurality of first indexes in the scheme layer relative to each second index in the criterion layer are determined, wherein the plurality of first indexes are in one-to-one correspondence with the plurality of first weights. For example, a number of weights for the creator performance, creator span, creator personal reputation, click rate, number of browses, number of praise, number of collections, and number of order conversion, respectively, relative to the creator image may be determined.

Specifically, for each second index, a first importance of influence of any two first indexes of the plurality of first indexes on each second index is obtained. And constructing a pair of comparison matrixes corresponding to each second index according to the first importance of the influence of any two first indexes on each second index.

Illustratively, the first importance of the influence of a first index on each second index may be measured by a 1-9 scale, where 1 represents the same importance, 3 represents a slight importance, 5 represents importance, 7 represents a lot of importance, and 9 represents an extreme importance. It is of course also possible to characterize the degree of importance between the above-mentioned several degrees of importance by 2/4/6/8, respectively, e.g. 2 characterizes a degree of importance between 1 and 3. For example, if the first index i is slightly more important than the first index j than the second index in the layer if the first index i is aligned with the first index j, the corresponding element of the first index i and the first index j in the pair-wise comparison matrix is 3.

Thus, according to the above-described scaling method, a pair-wise comparison matrix corresponding to a plurality of first indices and any one of second indices of the present application as shown in table 1 may be constructed:

table 1:

wherein T1, T2, T3, T4, T5, T6, T7, T8 are a plurality of first indices, and a first importance of the influence of the ith first index and the jth first index on the second index is represented by elements in the ith row and the jth column in the pair of comparison matrices. If the element in the ith row and jth column is 3, it is explained that the ith first index is slightly more important than the jth first index than the first importance of the effect of the jth first index on the second index.

Alternatively, the first importance of the influence of any two first indicators on the second indicator may be preset by an expert. For example, an expert presets the first importance of the creator's performance and the influence of the individual reputation on the creator's portraits, with the creator's performance being slightly more important than the individual reputation. Thus, the ratio of the creator performance to the individual reputation in the pair comparison matrix is 3.

Alternatively, the first importance of the influence of any two first indicators on the second indicator may be obtained by means of an electronic questionnaire. For example, an electronic questionnaire is set for each second index, wherein the electronic questionnaire is used for ordering the first importance of the second index for a plurality of first indexes; according to the collected results of the plurality of electronic questionnaires, the voting number (namely the number of the electronic questionnaires) of each first index row in the first index row is obtained; the ratio of the number of votes for the first of the two first indicators is ranked as the first importance of the impact of the two first indicators on the second indicator. It should be noted that, if the number of votes in the first rank of a certain first index is zero, the importance degree of any other first index is the most important as compared with the first index, the ratio of any other first index to the first index is the highest value in the scale method, for example, the 1-9 scale method, and the ratio of any other first index to the first index is 9.

For example, if the number of votes for the first index is 100 and the number of votes for the second first index is 300, the importance of the influence of the two first indexes on the second index is 1/3, i.e., it is explained that the second first index is slightly more important than the first index.

Further, a first maximum characteristic root of a pair of comparison matrixes corresponding to each second index is obtained; and acquiring a first feature vector corresponding to the first maximum feature root, and taking each value in the first feature vector as a plurality of weights of a plurality of first indexes relative to each second index.

202: according to the analytic hierarchy process, a plurality of second weights of a plurality of second indicators relative to a third indicator are determined, the third indicator being used to determine a quality of the user generated content.

Wherein the plurality of second indexes are in one-to-one correspondence with the plurality of second weights.

Likewise, the second importance of the influence of any two second indicators in the plurality of second indicators on the third indicator may be obtained, where the manner of obtaining the second importance is similar to the manner of obtaining the first importance in step 201, and will not be described. Then, according to the second importance, constructing a pair of comparison matrixes corresponding to the third index; obtaining a second maximum characteristic root of the paired comparison matrixes corresponding to the third index; and acquiring a second feature vector corresponding to the second maximum feature root, and taking each value in the second feature vector as a plurality of weights of the second indexes relative to the third index.

203: and obtaining text information of the first user to be processed generated content, and processing the text information to obtain a plurality of characteristic values of the first user to be processed generated content under a plurality of first indexes.

Wherein the first user-to-be-processed generated content generates any one of the content for the plurality of users-to-be-processed.

For example, the text information of the first to-be-processed user generated content can be obtained through a crawler technology, wherein the text information can be multiple copies, for example, the text information (i.e., image information) of an creator can be obtained from a maintained user database aiming at the dimension of the image of the creator; then, carrying out entity identification on the portrait information to obtain the performance of the creator, the honor of the creator, the age of the creator and the personal honor of the creator; text information (such as statistical records of the number of browsed persons) aiming at content consumption can be obtained from a maintained browsing record database aiming at the content consumption dimension, and then the text information is processed to obtain click rate, the number of browsed persons and the number of praise persons; similarly, for the service value dimension, text information for the service value can be obtained from the maintained browsing record database, and then the text information is processed to obtain collection times and number of conversion of the list.

Thus, by processing the text information, the feature value at each first index can be obtained.

Illustratively, sentence dividing processing is performed on the text information to obtain at least one sentence containing each first index; then, extracting keywords from each sentence in at least one sentence to obtain at least one keyword corresponding to each sentence; then, each keyword in at least one keyword is respectively combined with the first index to obtain at least one phrase corresponding to each first index; and finally, obtaining the confusion degree of each phrase in the at least one phrase, and taking the keywords in the phrase with the minimum confusion degree as the characteristic value corresponding to each first index, namely taking the keywords in the phrase with the most complete semantics as the characteristic value corresponding to each first index.

204: and determining a first score of the first user to be processed generated content under each second index according to the characteristic values and the first weights.

Illustratively, a score corresponding to each first indicator is determined based on the characteristic value under each first indicator. For example, the score under each first index is obtained according to the characteristic value under each first index and the corresponding relation between the characteristic value and the score. And then, weighting the scores under the first indexes according to the first weights of the first indexes relative to the second indexes, respectively, so as to obtain the first scores under the second indexes.

Wherein, the corresponding relation between the characteristic value and the score can be characterized by the following table 2:

table 2:

205: and determining a target score of the first to-be-processed user generated content according to the second weights and the scores of the first to-be-processed user generated content under each second index.

Illustratively, the first score under each second index is weighted according to a plurality of second weights to obtain a target score of the first user to be processed generated content.

206: and managing the generated contents of the plurality of users to be processed according to the target score of the generated contents of each user to be processed in the generated contents of the plurality of users to be processed.

The method includes the steps that an exemplary management policy of generating content by each user to be processed is determined according to a corresponding relation between a preset target score and the management policy and a target score of the content generated by each user to be processed; and managing the generated content of each user to be processed according to the management strategy of the generated content of each user to be processed.

For the first to-be-processed user content, if the target score of the first to-be-processed user generated content is greater than the first threshold, the first to-be-processed user generated content is displayed in a top-mounted manner; if the target score of the generated content of the first user to be processed is larger than the second threshold value and smaller than the first threshold value, adding a recommendation label to the generated content of the first user to be processed, and increasing a weight coefficient during recommendation so that the generated content of the first user to be processed is pushed to the user when the user searches the generated content of the user; if the target score of the first to-be-processed user generated content is smaller than the second threshold value and larger than a third threshold value, reserving the first to-be-processed user generated content, namely, not carrying out additional processing on the first to-be-processed user content; and if the target score of the first to-be-processed user generated content is smaller than a third threshold value, deleting the first to-be-processed user generated content or sinking the first to-be-processed user generated content so as to ensure that the first to-be-processed user generated content cannot be searched when the user searches the user generated content. Wherein the first threshold may be 8 or other values, the second threshold may be 6 or other values, and the third threshold may be 3 or other values. Wherein the first threshold is greater than the second threshold, and the second threshold is greater than the third threshold.

Wherein, the corresponding relation between the target score and the management policy can be represented by table 3:

table 3:

in one embodiment of the present application, for example, the plurality of user generated contents to be processed may be ranked according to target scores of the plurality of user generated contents to be processed, to obtain a ranking result; and finally, displaying a plurality of user generated contents to be processed on a visual interface according to the sequencing result.

Referring to fig. 4, fig. 4 is a flowchart of another method for managing user generated content according to an embodiment of the present application. The method is applied to the user-generated content management device. The same contents of this embodiment as those of the embodiment shown in fig. 2 are not repeated here. The method of the present embodiment includes the steps of:

401: a plurality of initial indicators associated with each second indicator is obtained.

That is, all of the initial indicators associated with each of the second indicators, e.g., for the second indicator to be an author representation, the indicators associated with the author representation may include other indicators, e.g., the author age, the author gender, in addition to the plurality of first indicators mentioned herein, but not all of the indicators are related to the quality evaluation of the user-generated content, e.g., the author gender is not related to the quality of the user-generated content. The object to be achieved by this embodiment is to screen out candidate indexes related to the quality evaluation of the user generated content from all the initial indexes related to each second index.

402: a plurality of training samples are obtained, wherein each training sample generates content for a historical user of annotated known scores.

And scoring the content generated by each historical user in a manual labeling mode to obtain the plurality of training samples.

403: and normalizing the data of each training sample under each initial index to obtain the standard data of each training sample under each initial index.

For example, for a first training sample, a ranking of data of the first training sample under each initial index in the plurality of training samples is obtained, and then standardized data of the first training sample under each initial index is determined according to the ranking of the data of the first training sample under each initial index in the plurality of training samples, wherein the first training sample is any one of the plurality of training samples. Illustratively, the normalized data for the first training sample at each initial indicator may be represented by equation (1):

formula (1);

wherein,for the normalized data of the first training sample at the ith initial indicator of the plurality of initial indicators, N is the number of the plurality of training samples,/A->Ranking the data of the first training sample under the ith initial indicator in N training samples.

404: and normalizing the marked scores of each training sample to obtain normalized scores of each training sample.

Similarly, the score corresponding to each training sample is also standardized to obtain a standardized score of the score of each training sample, where the manner of obtaining the standardized score is similar to the manner of obtaining the labeling data, that is, the ranking of the score of each training sample in a plurality of training samples is obtained, which is not described.

405: and gradually introducing each initial index by using the standardized score of each training sample as a label through a stepwise regression method, and determining a plurality of candidate indexes which have significance on the quality score of the user generated content in a plurality of initial indexes by using the standard data of each training sample under each initial index.

For each training sample, gradually introducing each initial index by a stepwise regression method by taking the standardized score of each training sample as a label, and determining a plurality of initial candidate indexes which have a significant effect on the quality score of user generated content when the training sample is used for training according to the standard data of each training sample under the initial index; and finally, voting selection is carried out on a plurality of initial candidate indexes with significance influence corresponding to each training sample based on a voting principle, so that a plurality of candidate indexes corresponding to each second index are obtained, wherein the plurality of candidate indexes corresponding to each second index are parts of the plurality of first indexes.

406: and combining the candidate indexes corresponding to each second index to obtain a plurality of first indexes.

407: according to the analytic hierarchy process, a plurality of first weights of the plurality of first indexes relative to each second index are determined.

408: according to the analytic hierarchy process, a plurality of second weights of a plurality of second indicators relative to a third indicator are determined, the third indicator being used to determine a quality of the user generated content.

409: and obtaining text information of the first user to be processed generated content, and processing the text information to obtain a plurality of characteristic values of the first user to be processed generated content under a plurality of first indexes.

410: and determining a first score of the first user to be processed generated content under each second index according to the characteristic values and the first weights.

411: and determining a target score of the content generated by the first user to be processed according to the second weights and the first score under each second index.

412: and managing the generated contents of the plurality of users to be processed according to the target score of the generated contents of each user to be processed in the generated contents of the plurality of users to be processed.

It can be seen that, in the embodiment of the present application, first indexes related to quality evaluation of user generated content are screened out from all indexes by a stepwise regression method, and because the first indexes are all indexes related to quality evaluation, the accuracy of subsequent scoring is improved; then determining the weights of the first indexes relative to each second index and the weights of the second indexes relative to the third index through an analytic hierarchy process; the weight determined by the analytic hierarchy process is not manually set, so that the determined weight has higher precision; and then, determining the score corresponding to each first index based on a preset scoring table and the characteristic value under each first index, and finally, sequentially weighting and summing according to the weight and the weight corresponding to each first index to obtain the target score of the generated content of each user to be processed. And finally, the target score of each user to be processed generates the content name reflects the quality of each user to be processed to generate the content, and the plurality of user to be processed generate the content is managed according to the target score of each user to be processed, so that a solution is provided for the fine management of the user to be processed to generate the content.

Referring to fig. 5, fig. 5 is a functional unit block diagram of a user-generated content management apparatus according to an embodiment of the present application. The user-generated content management apparatus 500 includes: an acquisition unit 501 and a processing unit 502;

a processing unit 502, configured to determine, according to an analytic hierarchy process, a plurality of first weights of a plurality of first indexes relative to each second index, where the plurality of first indexes are in one-to-one correspondence with the plurality of first weights, the plurality of first indexes are used to determine basic information of user generated content, each second index is formed by a part of the first indexes, and part of the first indexes corresponding to any two second indexes are completely different;

an obtaining unit 501, configured to obtain text information of a first user generated content to be processed;

the processing unit 502 is further configured to process the text information to obtain a plurality of feature values of the first to-be-processed user generated content under the plurality of first indexes, where the first to-be-processed user generated content is any one of the plurality of to-be-processed user generated contents;

In one embodiment of the present application, the processing unit 502 is specifically configured to, in determining, according to the hierarchical analysis method, a plurality of first weights of the plurality of first indexes with respect to each of the second indexes, respectively:

acquiring first importance of influence of any two first indexes in the plurality of first indexes on each second index respectively;

constructing a pair comparison matrix corresponding to each second index according to the first importance;

acquiring a first maximum characteristic root of a pair of comparison matrixes corresponding to each second index;

and acquiring a first feature vector corresponding to the first maximum feature root, and taking each value in the first feature vector as the plurality of first weights.

In one embodiment of the present application, in processing the text information, the processing unit 502 is specifically configured to:

sentence dividing processing is carried out on the text information to obtain at least one sentence containing each first index;

extracting keywords from each sentence in the at least one sentence to obtain at least one keyword corresponding to each sentence;

combining each keyword in the at least one keyword with each first index to obtain at least one phrase;

and obtaining the confusion degree of each phrase in the at least one phrase, and taking the keywords in the phrase with the minimum confusion degree as the characteristic value of each first index.

In one embodiment of the present application, before determining the first weights of the first indexes with respect to the second indexes, respectively, according to the hierarchical analysis method, the processing unit 502 is further configured to:

acquiring a plurality of initial indexes related to each second index;

acquiring a plurality of training samples, wherein each training sample generates content for a marked historical user with a known score;

Normalizing the data of each training sample under each initial index to obtain standard data of each training sample under each initial index;

normalizing the scores marked by each training sample to obtain normalized scores of each training sample;

gradually introducing the standardized scores of each training sample into each initial index by a stepwise regression method by taking the standardized scores of each training sample as labels, and determining a plurality of candidate indexes which have significance on the quality scores of the user generated contents in the plurality of initial indexes by the standard data of each training sample under each initial index;

and combining the candidate indexes corresponding to each second index to obtain the first indexes.

In one embodiment of the present application, in normalizing the data of each training sample under each initial indicator, the processing unit 502 is specifically configured to:

for a first training sample, acquiring the rank of data of the first training sample under each initial index in the plurality of training samples, wherein the first training sample is any one of the plurality of training samples;

Determining standardized data of the first training sample under each initial index according to the ranking; wherein the normalized data satisfies the following formula:

；

In one embodiment of the present application, the processing unit 502 is specifically configured to, in terms of managing the plurality of user-generated contents according to the score of each user-generated content in the plurality of user-generated contents:

if the target score of the first user to be processed generated content is larger than a first threshold value, the first user to be processed generated content is displayed in a top-mounted mode;

if the target score of the content generated by the first user to be processed is larger than a second threshold value and smaller than the first threshold value, adding a recommendation label to the content generated by the first user to be processed;

if the target score of the first to-be-processed user generated content is smaller than the second threshold value and larger than a third threshold value, the first to-be-processed user generated content is reserved;

If the target score of the first user to be processed generated content is smaller than the third threshold value, the first user to be processed generated content is put down or sunk;

wherein the first threshold is greater than the second threshold, and the second threshold is greater than the third threshold.

In one embodiment of the present application, the plurality of first indicators includes a performance of an creator of the user-generated content, a span of the creator, a personal reputation of the creator, a click rate, a number of browses, a number of endorsements, a number of collections, and a number of order conversions;

the plurality of second indicators includes creator portraits of the user-generated content, content consumption, and business value;

the third metric includes a target score for the user-generated content.

Referring to fig. 6, fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application. As shown in fig. 6, the electronic device 600 includes a transceiver 601, a processor 602, and a memory 603. Which are connected by a bus 604. The memory 603 is used for storing computer programs and data, and the data stored in the memory 603 can be transferred to the processor 602.

The processor 602 is configured to read a computer program in the memory 603 to perform the following operations:

controlling the transceiver 601 to acquire text information of the first user-generated content to be processed;

processing the text information to obtain a plurality of characteristic values of the first user to be processed generated content under the plurality of first indexes, wherein the first user to be processed generated content is any one of the plurality of user to be processed generated content;

In one embodiment of the present application, the processor 602 is specifically configured to perform the following steps in determining a plurality of first weights of the plurality of first indicators with respect to each of the second indicators according to a hierarchical analysis method:

In one embodiment of the present application, in processing the text information to obtain a plurality of feature values of the first to-be-processed user generated content under the plurality of first indexes, the processor 602 is specifically configured to perform the following steps:

In one embodiment of the present application, before determining the plurality of first weights of the plurality of first indicators with respect to each of the second indicators, respectively, according to the hierarchical analysis, the processor 602 is further configured to perform the following steps:

acquiring a plurality of initial indexes related to each second index;

In one embodiment of the present application, the processor 602 is specifically configured to, in normalizing the data of each training sample under each initial indicator to obtain the standard data of each training sample under each initial indicator, perform the following steps:

；

In one embodiment of the present application, the processor 602 is specifically configured to perform the following steps in managing the plurality of user-generated content according to the score of each of the plurality of user-generated content:

the third metric includes a target score for the user-generated content.

Specifically, the transceiver 601 may generate the obtaining unit 501 of the content management apparatus 500 for the user according to the embodiment shown in fig. 5, and the processor 602 may generate the processing unit 502 of the content management apparatus 500 for the user according to the embodiment shown in fig. 5.

It should be understood that the electronic device in the present application may include a smart Phone (such as an Android mobile Phone, an iOS mobile Phone, a Windows Phone mobile Phone, etc.), a tablet computer, a palm computer, a notebook computer, a mobile internet device MID (Mobile Internet Devices, abbreviated as MID) or a wearable device, etc. The above-described electronic devices are merely examples and are not intended to be exhaustive and include, but are not limited to, the above-described electronic devices. In practical applications, the electronic device may further include: intelligent vehicle terminals, computer devices, etc.

The present application also provides a computer-readable storage medium storing a computer program that is executed by a processor to implement some or all of the steps of any one of the user-generated content management methods as set forth in the method embodiments described above.

The present application also provides a computer program product comprising a non-transitory computer readable storage medium storing a computer program operable to cause a computer to perform part or all of the steps of any one of the user-generated content management methods as set out in the method embodiments above.

It should be noted that, for simplicity of description, the foregoing method embodiments are all expressed as a series of action combinations, but it should be understood by those skilled in the art that the present application is not limited by the order of actions described, as some steps may be performed in other order or simultaneously in accordance with the present application. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all alternative embodiments, and that the acts and modules referred to are not necessarily required in the present application.

In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative, such as the division of the units, merely a logical function division, and there may be additional manners of dividing the actual implementation, such as multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or units, or may be in electrical or other forms.

The units described as separate units may or may not be physically separate, and units shown as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit. The integrated units described above may be implemented either in hardware or in software program modules.

The integrated units, if implemented in the form of software program modules, may be stored in a computer-readable memory for sale or use as a stand-alone product. Based on such understanding, the technical solution of the present application may be embodied in essence or a part contributing to the prior art or all or part of the technical solution in the form of a software product stored in a memory, including several instructions for causing a computer device (which may be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in the embodiments of the present application. And the aforementioned memory includes: a U-disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.

Those of ordinary skill in the art will appreciate that all or a portion of the steps in the various methods of the above embodiments may be implemented by a program that instructs associated hardware, and the program may be stored in a computer readable memory, which may include: flash disk, read-Only Memory (ROM), random access Memory (Random Access Memory, RAM), magnetic disk or optical disk.

The foregoing has outlined rather broadly the more detailed description of embodiments of the present application, wherein specific examples are provided herein to illustrate the principles and embodiments of the present application, the above examples being provided solely to assist in the understanding of the methods of the present application and the core ideas thereof; meanwhile, as those skilled in the art will have modifications in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.

Claims

1. A user-generated content management method, comprising:

2. The method of claim 1, wherein determining a plurality of first weights for the plurality of first indicators relative to each of the second indicators, respectively, according to the analytic hierarchy process comprises:

3. The method according to claim 1 or 2, wherein said processing the text information to obtain a plurality of feature values of the first user-generated content to be processed under the plurality of first indicators comprises:

4. The method of claim 1, wherein prior to determining the first plurality of weights for each of the first plurality of metrics with respect to each of the second plurality of metrics based on the hierarchical analysis, the method further comprises:

acquiring a plurality of initial indexes related to each second index;

5. The method of claim 4, wherein normalizing the data of each training sample under each initial indicator to obtain the standard data of each training sample under each initial indicator comprises:

wherein S is _Ai An ith initial indicator of the plurality of initial indicators for the first training sampleAnd (3) the following standardized data, wherein N is the number of the training samples, and rank (Ai) is the ranking of the data of the first training sample under the ith initial index in the N training samples.

6. The method of claim 1, wherein the managing the plurality of user-generated content according to the score of each of the plurality of user-generated content comprises:

7. The method of claim 1, wherein the step of determining the position of the substrate comprises,

the first indexes comprise the performance of the creator of the user-generated content, the age of the creator, the personal honor of the creator, the click rate, the number of browses, the number of praise, the number of collection times and the number of order conversion;

The third metric includes a target score for the user-generated content.

8. A user-generated content management apparatus, comprising: an acquisition unit and a processing unit;

9. An electronic device, comprising: a processor and a memory, the processor being connected to the memory, the memory being for storing a computer program, the processor being for executing the computer program stored in the memory to cause the electronic device to perform the method of any one of claims 1-7.

10. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program, which is executed by a processor to implement the method of any of claims 1-7.