GENERATING A USER INTERFACE FOR RECOMMENDING PRODUCTS
A computer-implemented method includes determining a similarity score for a product by determining a similarity between a product vector for a product and a user vector for a user, determining a recency score for the product based on a date the product was made available at a retailer, and determini...
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creator | Ruekert Joseph Owen Gupte Satyajit Feierfeil Andrew J Muench Thomas Fredrick Springer William |
description | A computer-implemented method includes determining a similarity score for a product by determining a similarity between a product vector for a product and a user vector for a user, determining a recency score for the product based on a date the product was made available at a retailer, and determining collaborative filtering score for the product based on the likelihood that people who bought another product would also buy the product. The similarity score, the recency score and the collaborative filtering score are combined to generate a total score for the product. Based on the total score for the product, a user interface is generated to recommend the product to the user. |
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The similarity score, the recency score and the collaborative filtering score are combined to generate a total score for the product. Based on the total score for the product, a user interface is generated to recommend the product to the user.</description><language>eng</language><subject>CALCULATING ; 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>2017</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=20170720&DB=EPODOC&CC=US&NR=2017206582A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,776,881,25542,76289</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20170720&DB=EPODOC&CC=US&NR=2017206582A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Ruekert Joseph Owen</creatorcontrib><creatorcontrib>Gupte Satyajit</creatorcontrib><creatorcontrib>Feierfeil Andrew J</creatorcontrib><creatorcontrib>Muench Thomas Fredrick</creatorcontrib><creatorcontrib>Springer William</creatorcontrib><title>GENERATING A USER INTERFACE FOR RECOMMENDING PRODUCTS</title><description>A computer-implemented method includes determining a similarity score for a product by determining a similarity between a product vector for a product and a user vector for a user, determining a recency score for the product based on a date the product was made available at a retailer, and determining collaborative filtering score for the product based on the likelihood that people who bought another product would also buy the product. 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subjects | CALCULATING 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 | GENERATING A USER INTERFACE FOR RECOMMENDING PRODUCTS |
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