METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR PREDICTING RATINGS USING GRAPH FILTERS
Methods, systems, and computer readable media for computing user rating predictions are disclosed. In some examples, a recommender is implemented on at least one processor and memory and programmed for receiving a request to select one or more recommended items for a user from unrated items that are...
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creator | Ribeiro Pereira, Alejandro Rafael Huang, Weiyu Garcia Marques, Antonio |
description | Methods, systems, and computer readable media for computing user rating predictions are disclosed. In some examples, a recommender is implemented on at least one processor and memory and programmed for receiving a request to select one or more recommended items for a user from unrated items that are unrated by the user to the recommender. The recommender is programmed for computing user rating predictions for each of the unrated items by applying a graph filter to user-item rating data. The user-item rating data includes other-user ratings of the unrated items by other users and a same-user ratings of other items by the user. The recommender is programmed for selecting the one or more recommended items from the unrated items using the user rating predictions for the unrated items and outputting the recommended items in response to the request. |
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In some examples, a recommender is implemented on at least one processor and memory and programmed for receiving a request to select one or more recommended items for a user from unrated items that are unrated by the user to the recommender. The recommender is programmed for computing user rating predictions for each of the unrated items by applying a graph filter to user-item rating data. The user-item rating data includes other-user ratings of the unrated items by other users and a same-user ratings of other items by the user. The recommender is programmed for selecting the one or more recommended items from the unrated items using the user rating predictions for the unrated items and outputting the recommended items in response to the request.</description><language>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>2019</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=20190228&DB=EPODOC&CC=US&NR=2019066187A1$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20190228&DB=EPODOC&CC=US&NR=2019066187A1$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>Ribeiro Pereira, Alejandro Rafael</creatorcontrib><creatorcontrib>Huang, Weiyu</creatorcontrib><creatorcontrib>Garcia Marques, Antonio</creatorcontrib><title>METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR PREDICTING RATINGS USING GRAPH FILTERS</title><description>Methods, systems, and computer readable media for computing user rating predictions are disclosed. In some examples, a recommender is implemented on at least one processor and memory and programmed for receiving a request to select one or more recommended items for a user from unrated items that are unrated by the user to the recommender. The recommender is programmed for computing user rating predictions for each of the unrated items by applying a graph filter to user-item rating data. The user-item rating data includes other-user ratings of the unrated items by other users and a same-user ratings of other items by the user. 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In some examples, a recommender is implemented on at least one processor and memory and programmed for receiving a request to select one or more recommended items for a user from unrated items that are unrated by the user to the recommender. The recommender is programmed for computing user rating predictions for each of the unrated items by applying a graph filter to user-item rating data. The user-item rating data includes other-user ratings of the unrated items by other users and a same-user ratings of other items by the user. The recommender is programmed for selecting the one or more recommended items from the unrated items using the user rating predictions for the unrated items and outputting the recommended items in response to the request.</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 PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR |
title | METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR PREDICTING RATINGS USING GRAPH FILTERS |
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