Personalized Standard Deviations Improve the Baseline Estimation of Collaborative Filtering Recommendation

Personalized Standard Deviations Improve the Baseline Estimation of Collaborative Filtering Recommendation

Baseline estimation is a critical component for latent factor-based collaborative filtering (CF) recommendations to obtain baseline predictions by evaluating global deviations for both users and items from personalized ratings. Classical baseline estimation presupposes that the user’s factual rating...

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Bibliographic Details
Main Authors:	Zhenhua Tan, Liangliang He, Danke Wu, Qiuyun Chang, Bin Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2020-07-01
Series:	Applied Sciences
Subjects:	recommender system baseline estimation collaborative filtering standard deviation personalization
Online Access:	https://www.mdpi.com/2076-3417/10/14/4756

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