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...

Full description

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

Internet

https://www.mdpi.com/2076-3417/10/14/4756

Similar Items