Effects of neighborhood-based collaborative filtering parameters on their blockbuster bias performances

Collaborative filtering algorithms are efficient tools for providing recommendations with reasonable accuracy performances to individuals. However, the previous research has realized that these algorithms are undesirably biased towards blockbuster items. i.e., both popular and highly-liked items, in...

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Bibliographic Details

Published in:	Sakarya University Journal of Computer and Information Sciences
Main Author:	Emre Yalçın
Format:	Article
Language:	English
Published:	Sakarya University 2022-08-01
Subjects:	recommender systems neighborhood-based collaborative filtering blockbuster bias similarity function neighborhood size
Online Access:	https://dergipark.org.tr/tr/download/article-file/2223477