CN112650934A - Content push-up method based on high participation of user and electronic equipment thereof - Google Patents
Content push-up method based on high participation of user and electronic equipment thereof Download PDFInfo
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- CN112650934A CN112650934A CN202110064782.5A CN202110064782A CN112650934A CN 112650934 A CN112650934 A CN 112650934A CN 202110064782 A CN202110064782 A CN 202110064782A CN 112650934 A CN112650934 A CN 112650934A
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Abstract
The invention provides a content push-up method based on high participation of users and electronic equipment thereof, which comprises posts issued by the users; setting up a review system to ensure the security of the content; setting a poster checking system, enabling the content issued by the user to enter the poster checking system after passing through the review system, and determining whether the content can be recommended or not after voting by the poster checking system; after the result of voting by multiple people by the poster, the recommended content can be recommended to other users in the community. The content push-up method based on high participation of the user can ensure that the recommended content has no low-quality content, and solves the problem of limitation of free development of communities caused by dependence on single preference of an editing/operating team.
Description
Technical Field
The invention relates to the technical field of computers, in particular to a content push-up method based on high participation of users and electronic equipment thereof.
Background
The recommendation system is used for generating personalized recommendations by applying knowledge discovery technology, so that a user is helped to screen out useful information from a large number of articles, products, movies, music, web pages and the like, and the recommendation system is widely applied to various electronic commerce platforms.
The existing content push-up mechanism method depends on the decision of an editing/operation team or directly carries out recommendation, as shown in fig. 2, the specific flow is as follows: firstly, issuing content by a user; secondly, setting a review system and filtering illegal contents such as bad taste and astringent feeling; then an editing team decides recommendation/direct recommendation; finally, the user using the community sees the recommended content.
The existing recommendation method has the defects in several main aspects: highly dependent on single preferences of the editing team/operating team; the recommendation is directly carried out without manual filtering, and the quality of the recommended content seen by the community users cannot be guaranteed.
In view of this, the recommendation method is limited, and the recommended content cannot guarantee quality, which is a problem to be solved currently.
Disclosure of Invention
The invention aims to solve the problems of ensuring recommendation quality and limiting a recommendation process in the prior art. The invention provides a content push-up method based on high participation of users, which comprises posts issued by the users; setting up a review system to ensure the security of the content; setting a poster checking system, enabling the content issued by the user to enter the poster checking system after passing through the review system, and determining whether the content can be recommended or not after voting by the poster checking system; after the result of voting by multiple people by the poster, the recommended content can be recommended to other users in the community. The content push-up method based on high participation of the user can ensure that the recommended content has no low-quality content, and solves the problem of limitation of free development of communities caused by dependence on single preference of an editing/operating team.
In order to solve the technical problem, the invention provides a content push-up method based on high participation of a user, which comprises the following steps:
step 300: setting a poster checking system, enabling the content issued by the user to enter the poster checking system after passing through the review system, and determining whether the content can be recommended or not after voting by the poster checking system;
step 300-1: and (4) recruiting core users to apply for the role of the poster-reviewing, and automatically inviting the poster-reviewing which can potentially participate in the voting of the recommended content according to the historical behaviors of the users in the community, wherein the historical behaviors comprise posting and recommended.
Optionally, step 300-2: and (4) performing a test on the collators, wherein potential collators obtaining invitation qualification need to pass 10-20 historical case and recommended content rule tests, the potential collators become formal collators after the test passes the test scores, and the formal collators can participate in voting to determine whether the content can be recommended or not.
Optionally, step 300-3: whether the content participated by the poster can be recommended to vote or not is judged, whether the content is recommended to vote or not is carried out according to the historical case and the recommended content rule through a formal poster of the test question test, point recommendation is carried out if the content can be recommended, point non-recommendation is carried out if the content cannot be recommended, skipping cannot be determined, in order to guarantee voting effectiveness, the question is alternately inspected in the voting process, and whether the poster votes are credible or not is judged.
Optionally, step 300-4: and according to the voter voting result, judging whether the content can be recommended or not. And determining whether the content can be recommended or not according to the accuracy and the historical working condition of the poster and the final result of the multi-person voting.
Optionally, step 300-5: and (4) community operation intervention, wherein in order to ensure that a poster enters a door to know recommendation rules and voting accuracy, community operation needs to add and adjust test questions in the step 300-2, add and adjust investigation questions in the step 300-3, and perform spot check work after the step 300-4.
Optionally, before performing step 300, further comprising the following steps,
step 100: posts posted by a user;
step 200: an audit system is provided to ensure content security.
Optionally, after step 300-5 is performed, the following steps are included,
step 400: after the result of voting by multiple people by the poster, the recommended content can be recommended to other users in the community.
Another aspect of the present invention provides an electronic device based on a content push-up method with high user involvement, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the content push-up method with high user involvement when executing the computer program.
Through the method and the electronic device thereof, the content push-up method based on the high participation of the user can have the following technical effects: 1) the problem of low-quality content of the community can be solved more effectively by user participation, and the community noise is reduced; 2) the user participation has an evolutionary ability with the current time than that of a dependence platform, and can find and process the low-quality problem of the community more quickly; 3) the users participate in the decision to push up, and the core users have stronger participation.
Drawings
In order to make the technical problems solved by the present invention, the technical means adopted and the technical effects obtained more clear, the following will describe in detail the embodiments of the present invention with reference to the accompanying drawings. It should be noted, however, that the drawings described below are only illustrations of exemplary embodiments of the invention, from which other embodiments can be derived by those skilled in the art without inventive step.
Fig. 1 is a flowchart illustrating a content push-up method based on high participation of a user according to an embodiment of the present invention.
Fig. 2 is a flow chart illustrating a push-up method of the prior art.
Detailed Description
Exemplary embodiments of the present invention will now be described more fully hereinafter with reference to the accompanying drawings, in which exemplary embodiments of the invention may be embodied in many specific forms, and should not be construed as limited to the embodiments set forth herein. Rather, these exemplary embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the invention to those skilled in the art.
The structures, properties, effects or other characteristics described in a certain embodiment may be combined in any suitable manner in one or more other embodiments, while still complying with the technical idea of the invention.
In describing particular embodiments, specific details of structures, properties, effects, or other features are set forth in order to provide a thorough understanding of the embodiments by one skilled in the art. However, it is not excluded that a person skilled in the art may implement the invention in a specific case without the above-described structures, performances, effects or other features.
The flow chart in the drawings is only an exemplary flow demonstration, and does not represent that all the contents, operations and steps in the flow chart are necessarily included in the scheme of the invention, nor does it represent that the execution is necessarily performed in the order shown in the drawings. For example, some operations/steps in the flowcharts may be divided, some operations/steps may be combined or partially combined, and the like, and the execution order shown in the flowcharts may be changed according to actual situations without departing from the gist of the present invention.
The block diagrams in the figures generally represent functional entities and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.
The same reference numerals denote the same or similar elements, components, or parts throughout the drawings, and thus, a repetitive description thereof may be omitted hereinafter. It will be further understood that, although the terms first, second, third, etc. may be used herein to describe various elements, components, or sections, these elements, components, or sections should not be limited by these terms. That is, these phrases are used only to distinguish one from another. For example, a first device may also be referred to as a second device without departing from the spirit of the present invention. Furthermore, the term "and/or", "and/or" is intended to include all combinations of any one or more of the listed items.
Fig. 1 is a flowchart illustrating a content push-up method based on high participation of a user according to an embodiment of the present invention.
In order to solve the above technical problems, the present invention provides the following technical solutions.
The invention provides a content push-up method based on high participation of a user, which comprises the following steps as shown in figure 1:
step 100: a post posted by a user.
Step 200: an audit system is provided to ensure content security.
Step 300: and (4) setting a poster checking system, enabling the content issued by the user to enter the poster checking system after passing through the review system, and determining whether the content can be recommended or not after voting by the poster checking system. Namely whether the user can see the information by other users or the public, online recommendation, online display and the like.
The reviewing includes reviewing posts. It is decided whether he can be seen. In addition, the post can be posted and audited without a special account. The speed and the effect of posting are improved, and low-quality posts are removed.
Step 300-1: and (4) recruiting core users to apply for the role of the poster-reviewing, and automatically inviting the poster-reviewing which can potentially participate in the voting of the recommended content according to the historical behaviors of the users in the community, wherein the historical behaviors comprise posting and recommended.
Step 300-2: and (4) performing a test on the collators, wherein potential collators obtaining invitation qualification need to pass 10-20 historical case and recommended content rule tests, the potential collators become formal collators after the test passes the test scores, and the formal collators can participate in voting to determine whether the content can be recommended or not.
Step 300-3: whether the content participated by the poster can be recommended to vote or not is judged, whether the content is recommended to vote or not is carried out according to the historical case and the recommended content rule through a formal poster of the test question test, point recommendation is carried out if the content can be recommended, point non-recommendation is carried out if the content cannot be recommended, skipping cannot be determined, in order to guarantee voting effectiveness, the question is alternately inspected in the voting process, and whether the poster votes are credible or not is judged.
Step 300-4: and according to the voter voting result, judging whether the content can be recommended or not. And determining whether the content can be recommended or not according to the accuracy and the historical working condition of the poster and the final result of the multi-person voting.
Step 300-5: and (4) community operation intervention, wherein in order to ensure that a poster enters a door to know recommendation rules and voting accuracy, community operation needs to add and adjust test questions in the step 300-2, add and adjust investigation questions in the step 300-3, and perform spot check work after the step 300-4.
The method of big data intelligent analysis can be used for providing the whole platform with a service-based natural language processing analysis capability, and at least the following mature natural language processing functions should be provided: comprises that
(1) Word segmentation and part of speech tagging: performing natural language processing such as automatic word segmentation, part of speech tagging and the like on the text;
(2) keyword extraction and entity identification: extracting keywords of the text and entity attributes of various dimensions including names of people, places, names of organizations and the like to form structured data for describing text features;
(3) automatic text summarization: the method comprises the steps of simplifying and refining text content, automatically extracting text from long articles, automatically forming abstract characters according to configuration of length intervals of the abstract content, screening key sentences of the text through paragraph structures, sentence syntax, text keywords and other information of the text, reserving the sentences with the most information content as abstract results, enabling generated abstracts to be continuous and smooth, and reserving the central content of the original text;
(4) text classification: defining and generating various classification rules based on a certain classification standard system, automatically classifying the documents, continuously training a classification model through a training sample set to learn by self, and improving the classification accuracy;
(5) text similarity analysis: the text similarity algorithm based on semantic similarity can automatically calculate similar documents of a given document, excavate similar document clusters in a large number of text data sets, is suitable for application fields of document duplication checking, theme analysis, traceability analysis and the like, the similarity of the documents needs to be compared and expressed at a semantic level, and texts written by different keywords can be detected to have high similarity;
(6) subject word indexing: performing subject word indexing on the split data, wherein the indexing subject words can be indexed according to a subject word list and subject judgment of indexing contents, and selecting the subject words or inputting the subject words for indexing specific data;
(7) text clustering and topic identification: the text clustering method can classify the documents, classify the documents with similar contents into one class, automatically generate subject words for the class and support the text clustering of articles in million-level scale.
The intelligent big data analysis method can improve the efficiency and accuracy of posting.
Step 400: after the result of voting by multiple people by the poster, the recommended content can be recommended to other users in the community.
The aforesaid poster member represents a role of a general user who is tested and examined to participate in deciding whether the content can be recommended.
Another embodiment of the present invention provides an electronic device for a content push-up method based on high participation of a user, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the content push-up method based on high participation of the user when executing the computer program.
The core operation mode of the community autonomous system based on the high participation of the users is as follows: 1) behavior states such as reporting and stepping are carried out by severe users in the community, and by combining the algorithm model and the user behavior states, content which can cause community conflict can be recalled; 2) the contents which can cause the community conflict are submitted to tested community administration personnel (users) for voting to judge the processing result, and the judgment is carried out according to the processing result.
Compared with the prior art, the innovation point of the invention is that the key flow step 300 is mainly introduced for judging whether the content can be recommended by the participation of the user. For community products, the content seen by community users can directly influence the understanding of the users to the community and the communication in the community, and the content with low quality or against the community value proposition can bring a window-breaking effect to the community and influence the community to be enlarged. The content push-up mechanism based on high participation of users eliminates community low-quality content which is not suitable for recommendation and distribution by voting of severe users of the core community by means of understanding of community core users to the community, so that the community content quality is improved, and the good communication atmosphere of the community is maintained.
While the foregoing embodiments have described the objects, aspects and advantages of the present invention in further detail, it should be understood that the present invention is not inherently related to any particular computer, virtual machine or electronic device, and various general-purpose machines may be used to implement the present invention. The invention is not to be considered as limited to the specific embodiments thereof, but is to be understood as being modified in all respects, all changes and equivalents that come within the spirit and scope of the invention.
Claims (8)
1. A method for pushing up content based on high participation of a user, the method comprising the steps of:
step 300: setting a poster checking system, enabling the content issued by the user to enter the poster checking system after passing through the review system, and determining whether the content can be recommended or not after voting by the poster checking system;
step 300-1: and (4) recruiting core users to apply for the role of the poster-reviewing, and automatically inviting the poster-reviewing which can potentially participate in the voting of the recommended content according to the historical behaviors of the users in the community, wherein the historical behaviors comprise posting and recommended.
2. A method for pushing up content based on high participation of users according to claim 1, wherein:
step 300-2: and (4) performing a test on the collators, wherein potential collators obtaining invitation qualification need to pass 10-20 historical case and recommended content rule tests, the potential collators become formal collators after the test passes the test scores, and the formal collators can participate in voting to determine whether the content can be recommended or not.
3. A method for pushing up content based on high participation of users according to claim 1, wherein:
step 300-3: whether the content participated by the poster can be recommended to vote or not is judged, whether the content is recommended to vote or not is carried out according to the historical case and the recommended content rule through a formal poster of the test question test, point recommendation is carried out if the content can be recommended, point non-recommendation is carried out if the content cannot be recommended, skipping cannot be determined, in order to guarantee voting effectiveness, the question is alternately inspected in the voting process, and whether the poster votes are credible or not is judged.
4. A method for pushing up content based on high participation of users according to claim 1, wherein:
step 300-4: and determining whether the content can be recommended according to the voting result of the poster, the historical working condition and the final result of the multi-person voting.
5. A method for pushing up content based on high participation of users according to claim 1, wherein:
step 300-5: and (4) community operation intervention, wherein in order to ensure that a poster enters a door to know recommendation rules and voting accuracy, community operation needs to add and adjust test questions in the step 300-2, add and adjust investigation questions in the step 300-3, and perform spot check work after the step 300-4.
6. A method for pushing up content based on high participation of users according to any one of claims 1 to 5, wherein:
before step 300 is performed, there is further included the step of,
step 100: posts posted by a user;
step 200: an audit system is provided to ensure content security.
7. A method for pushing up content based on high participation of users according to claim 5, wherein:
after step 300-5 is performed, there is further included the step of,
step 400: after the result of voting by multiple people by the poster, the recommended content can be recommended to other users in the community.
8. An electronic device according to one of claims 1 to 7, characterized in that:
comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the computer program implements the above-mentioned method for pushing up content based on high participation of a user.
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