Item Genre-Based Users Similarity Measure for Recommender Systems

Item Genre-Based Users Similarity Measure for Recommender Systems

A technique employed by recommendation systems is collaborative filtering, which predicts the item ratings and recommends the items that may be interesting to the user. Naturally, users have diverse opinions, and only trusting user ratings of products may produce inaccurate recommendations. Therefor...

書目詳細資料
Main Authors:	Jehan Al-Safi, Cihan Kaleli
格式:	Article
語言:	English
出版:	MDPI AG 2021-06-01
叢編:	Applied Sciences
主題:	accuracy collaborative filtering reliability similarity measure
在線閱讀:	https://www.mdpi.com/2076-3417/11/13/6108

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