Collaborative filtering recommendation using fusing criteria against shilling attacks

Collaborative filtering recommendation using fusing criteria against shilling attacks

The collaborative filtering recommendation technique (CFR) is one of the techniques used in recommended systems, in which the most proximal neighbours to a target user are selected. Their profiles are used to predict rating for items as yet unrated by that target user. However, malicious users injec...

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Bibliographic Details
Main Authors: Li Li, Zhongqun Wang, Chen Li, Linjun Chen, Yong Wang
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Connection Science
Subjects:
shilling attack
user context
dynamic social behaviour
social tags
Online Access:http://dx.doi.org/10.1080/09540091.2022.2078280

Internet

http://dx.doi.org/10.1080/09540091.2022.2078280

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