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An effective and efficient fuzzy approach for managing natural noise in recommender systems

journal contribution

posted on 2021-09-01, 00:00 authored by P Wang, Y Wang, L Yu Zhang, H Zhu

An effective and efficient fuzzy approach for managing natural noise in recommender systems

History

Journal

Information Sciences

Volume

570

Pagination

623 - 637

Publisher

ELSEVIER SCIENCE INC

Publisher DOI

https://doi.org/10.1016/j.ins.2021.05.002

ISSN

0020-0255

eISSN

1872-6291

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000660096200007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C1 Refereed article in a scholarly journal

Usage metrics

Research Publications

Categories

Uncategorized

Keywords

Science & Technology Technology Computer Science, Information Systems Computer Science Noise detection Recommender system Natural noise Fuzzy set Collaborative filtering SIMILARITY MEASURE MANAGEMENT

Licence

All Rights Reserved

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