Personalized post recommendation method based on preference of user to post popularity
The invention discloses a personalized post recommendation method based on the preference of a user for post popularity, and the method comprises the steps: enabling the user to have different preference degrees for posts with different popularity, and carrying out the recommendation of the post pop...
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| creator | HUANG XINYI DAI YIGUANG JIAO YONGJI SHEN ZHENGQIAO ZHANG XIAOMAN |
| description | The invention discloses a personalized post recommendation method based on the preference of a user for post popularity, and the method comprises the steps: enabling the user to have different preference degrees for posts with different popularity, and carrying out the recommendation of the post popularity through employing the different preference degrees of the user for the posts with different popularity; uninterested posts are screened out to serve as a negative sample set and applied to negative sampling training of the generative adversarial network, personalized preferences of users are introduced, the average popularity of user interaction post records is calculated to serve as a preference value of the users for popularity, the average popularity of post interaction is calculated to serve as the preference value of the users for the popularity, and the user experience is improved. Post sets which may not be interested in among non-interactive posts are found out for users who prefer high-popularity p |
| format | Patent |
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Post sets which may not be interested in among non-interactive posts are found out for users who prefer high-popularity p</description><subject>CALCULATING</subject><subject>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</subject><subject>ELECTRIC DIGITAL DATA PROCESSING</subject><subject>PHYSICS</subject><subject>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNizEKAjEUBdNYiHqH7wEEg7jayqJYiYXYLjF5wYUk_5NkCz29C3oAq2FgZqruV-TCyYT-DUfCpVKG5RiRnKk9J4qoT3b0MGUMRpcMj4xkQexpKMhU-XsKyxBM7utrribehILFjzO1PB1v7XkF4Q5FjEVC7dqL1k2j1_vt7rD5p_kAfLw6QA</recordid><startdate>20230818</startdate><enddate>20230818</enddate><creator>HUANG XINYI</creator><creator>DAI YIGUANG</creator><creator>JIAO YONGJI</creator><creator>SHEN ZHENGQIAO</creator><creator>ZHANG XIAOMAN</creator><scope>EVB</scope></search><sort><creationdate>20230818</creationdate><title>Personalized post recommendation method based on preference of user to post popularity</title><author>HUANG XINYI ; DAI YIGUANG ; JIAO YONGJI ; SHEN ZHENGQIAO ; ZHANG XIAOMAN</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116610857A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES</topic><topic>ELECTRIC DIGITAL DATA PROCESSING</topic><topic>PHYSICS</topic><topic>SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</topic><toplevel>online_resources</toplevel><creatorcontrib>HUANG XINYI</creatorcontrib><creatorcontrib>DAI YIGUANG</creatorcontrib><creatorcontrib>JIAO YONGJI</creatorcontrib><creatorcontrib>SHEN ZHENGQIAO</creatorcontrib><creatorcontrib>ZHANG XIAOMAN</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>HUANG XINYI</au><au>DAI YIGUANG</au><au>JIAO YONGJI</au><au>SHEN ZHENGQIAO</au><au>ZHANG XIAOMAN</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Personalized post recommendation method based on preference of user to post popularity</title><date>2023-08-18</date><risdate>2023</risdate><abstract>The invention discloses a personalized post recommendation method based on the preference of a user for post popularity, and the method comprises the steps: enabling the user to have different preference degrees for posts with different popularity, and carrying out the recommendation of the post popularity through employing the different preference degrees of the user for the posts with different popularity; uninterested posts are screened out to serve as a negative sample set and applied to negative sampling training of the generative adversarial network, personalized preferences of users are introduced, the average popularity of user interaction post records is calculated to serve as a preference value of the users for popularity, the average popularity of post interaction is calculated to serve as the preference value of the users for the popularity, and the user experience is improved. Post sets which may not be interested in among non-interactive posts are found out for users who prefer high-popularity p</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES ELECTRIC DIGITAL DATA PROCESSING PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | Personalized post recommendation method based on preference of user to post popularity |
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