User conversion rate prediction method and related equipment
The invention provides a user conversion rate prediction method and related equipment, and the method comprises the steps: training a random delay parameter which is not converted by a user in business and is instantaneously constructed and features of the user by a machine learning mode, obtaining...
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| creator | YE JIAMU |
| description | The invention provides a user conversion rate prediction method and related equipment, and the method comprises the steps: training a random delay parameter which is not converted by a user in business and is instantaneously constructed and features of the user by a machine learning mode, obtaining a prediction model, and obtaining a more precise conversion rate when predicting the conversion rate of the user by the prediction model; The method also comprises the steps of determining features of a target user; determining an exposure moment of the target service; determining an actual delay parameter of the target user according to the exposure moment of the target service and the current moment; determining the conversion rate of the target user in the target service based on the actual delay parameter of the target user, the features of the target user and a prediction model, wherein the prediction model is obtained by training a training sample, and the training sample comprises the features of M users and |
| format | Patent |
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The method also comprises the steps of determining features of a target user; determining an exposure moment of the target service; determining an actual delay parameter of the target user according to the exposure moment of the target service and the current moment; determining the conversion rate of the target user in the target service based on the actual delay parameter of the target user, the features of the target user and a prediction model, wherein the prediction model is obtained by training a training sample, and the training sample comprises the features of M users and</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 ; PHYSICS ; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR</subject><creationdate>2021</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=20211221&DB=EPODOC&CC=CN&NR=113822435A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20211221&DB=EPODOC&CC=CN&NR=113822435A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>YE JIAMU</creatorcontrib><title>User conversion rate prediction method and related equipment</title><description>The invention provides a user conversion rate prediction method and related equipment, and the method comprises the steps: training a random delay parameter which is not converted by a user in business and is instantaneously constructed and features of the user by a machine learning mode, obtaining a prediction model, and obtaining a more precise conversion rate when predicting the conversion rate of the user by the prediction model; The method also comprises the steps of determining features of a target user; determining an exposure moment of the target service; determining an actual delay parameter of the target user according to the exposure moment of the target service and the current moment; determining the conversion rate of the target user in the target service based on the actual delay parameter of the target user, the features of the target user and a prediction model, wherein the prediction model is obtained by training a training sample, and the training sample comprises the features of M users and</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>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>2021</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZLAJLU4tUkjOzytLLSrOzM9TKEosSVUoKEpNyUwuAfFzU0sy8lMUEvNSFIpSc4CSKQqphaWZBbmpeSU8DKxpiTnFqbxQmptB0c01xNlDN7UgPz61uCAxOTUvtSTe2c_Q0NjCyMjE2NTRmBg1ABYIMCw</recordid><startdate>20211221</startdate><enddate>20211221</enddate><creator>YE JIAMU</creator><scope>EVB</scope></search><sort><creationdate>20211221</creationdate><title>User conversion rate prediction method and related equipment</title><author>YE JIAMU</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN113822435A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; 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The method also comprises the steps of determining features of a target user; determining an exposure moment of the target service; determining an actual delay parameter of the target user according to the exposure moment of the target service and the current moment; determining the conversion rate of the target user in the target service based on the actual delay parameter of the target user, the features of the target user and a prediction model, wherein the prediction model is obtained by training a training sample, and the training sample comprises the features of M users and</abstract><oa>free_for_read</oa></addata></record> |
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| language | chi ; eng |
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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 PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
| title | User conversion rate prediction method and related equipment |
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