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

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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...

書目詳細資料
發表在:	Information Processing and Management
主要作者:	2-s2.0-85059583017
格式:	Article
語言:	English
出版:	Elsevier Ltd 2019
在線閱讀:	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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