Account recommendation model training method, account recommendation method, device and equipment
The embodiment of the invention provides an account recommendation model training method and an account recommendation method, and relates to the technical field of artificial intelligence. The account recommendation model training method comprises the following steps: acquiring a target sample reso...
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| creator | LUO MINGZHU MA XUAN LI ZHIXING ZHENG XIANLING |
| description | The embodiment of the invention provides an account recommendation model training method and an account recommendation method, and relates to the technical field of artificial intelligence. The account recommendation model training method comprises the following steps: acquiring a target sample resource object and a plurality of first to-be-recommended sample accounts associated with the target sample resource object, and inputting the target sample resource object and the plurality of first to-be-recommended sample accounts into a pre-trained universal account recommendation model, so as to obtain the target sample resource object and the plurality of first to-be-recommended sample accounts; obtaining a predicted resource transfer tendency degree of each first to-be-recommended sample account for the target sample resource object; therefore, according to the predicted resource transfer tendency degree, obtaining a predicted standard deviation corresponding to the target sample resource object; and finally, b |
| format | Patent |
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The account recommendation model training method comprises the following steps: acquiring a target sample resource object and a plurality of first to-be-recommended sample accounts associated with the target sample resource object, and inputting the target sample resource object and the plurality of first to-be-recommended sample accounts into a pre-trained universal account recommendation model, so as to obtain the target sample resource object and the plurality of first to-be-recommended sample accounts; obtaining a predicted resource transfer tendency degree of each first to-be-recommended sample account for the target sample resource object; therefore, according to the predicted resource transfer tendency degree, obtaining a predicted standard deviation corresponding to the target sample resource object; and finally, b</description><language>chi ; eng</language><subject>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</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230721&DB=EPODOC&CC=CN&NR=116467521A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25562,76317</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230721&DB=EPODOC&CC=CN&NR=116467521A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>LUO MINGZHU</creatorcontrib><creatorcontrib>MA XUAN</creatorcontrib><creatorcontrib>LI ZHIXING</creatorcontrib><creatorcontrib>ZHENG XIANLING</creatorcontrib><title>Account recommendation model training method, account recommendation method, device and equipment</title><description>The embodiment of the invention provides an account recommendation model training method and an account recommendation method, and relates to the technical field of artificial intelligence. The account recommendation model training method comprises the following steps: acquiring a target sample resource object and a plurality of first to-be-recommended sample accounts associated with the target sample resource object, and inputting the target sample resource object and the plurality of first to-be-recommended sample accounts into a pre-trained universal account recommendation model, so as to obtain the target sample resource object and the plurality of first to-be-recommended sample accounts; obtaining a predicted resource transfer tendency degree of each first to-be-recommended sample account for the target sample resource object; therefore, according to the predicted resource transfer tendency degree, obtaining a predicted standard deviation corresponding to the target sample resource object; and finally, b</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>eNqNyqsOwkAQRuEaBAHeYfAglkvRTQNBofDNZPeHbtKdWdopzw-ilgR1xPnmBVfe6yhGPbymBAlsUYWSBnRkPUeJ8qQEazVsiH_oaQe8owexBMJrjPkrbFnMHtwNWE1dFOvL-V5ft8jaYMjsIbCmvjlXHsrTceeq_T_mA1fpPjA</recordid><startdate>20230721</startdate><enddate>20230721</enddate><creator>LUO MINGZHU</creator><creator>MA XUAN</creator><creator>LI ZHIXING</creator><creator>ZHENG XIANLING</creator><scope>EVB</scope></search><sort><creationdate>20230721</creationdate><title>Account recommendation model training method, account recommendation method, device and equipment</title><author>LUO MINGZHU ; MA XUAN ; LI ZHIXING ; ZHENG XIANLING</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN116467521A3</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>LUO MINGZHU</creatorcontrib><creatorcontrib>MA XUAN</creatorcontrib><creatorcontrib>LI ZHIXING</creatorcontrib><creatorcontrib>ZHENG XIANLING</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>LUO MINGZHU</au><au>MA XUAN</au><au>LI ZHIXING</au><au>ZHENG XIANLING</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Account recommendation model training method, account recommendation method, device and equipment</title><date>2023-07-21</date><risdate>2023</risdate><abstract>The embodiment of the invention provides an account recommendation model training method and an account recommendation method, and relates to the technical field of artificial intelligence. The account recommendation model training method comprises the following steps: acquiring a target sample resource object and a plurality of first to-be-recommended sample accounts associated with the target sample resource object, and inputting the target sample resource object and the plurality of first to-be-recommended sample accounts into a pre-trained universal account recommendation model, so as to obtain the target sample resource object and the plurality of first to-be-recommended sample accounts; obtaining a predicted resource transfer tendency degree of each first to-be-recommended sample account for the target sample resource object; therefore, according to the predicted resource transfer tendency degree, obtaining a predicted standard deviation corresponding to the target sample resource object; and finally, b</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 | Account recommendation model training method, account recommendation method, device and equipment |
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