An impact of time and item influencer in collaborative filtering recommendations using graph-based model

Recommender Systems deal with the issue of overloading information by retrieving the most relevant sources in the wide range of web services. They help users by predicting their interests in many domains like e-government, social networks, e-commerce and entertainment. Collaborative Filtering (CF) i...

詳細記述

書誌詳細
出版年:Information Processing and Management
第一著者: 2-s2.0-85059583017
フォーマット: 論文
言語:English
出版事項: Elsevier Ltd 2019
オンライン・アクセス:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059583017&doi=10.1016%2fj.ipm.2018.12.007&partnerID=40&md5=dce8d529651821a14ef99b43025efdd0

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