Matrix Factorization With Rating Completion: An Enhanced SVD Model for Collaborative Filtering Recommender Systems

Matrix Factorization With Rating Completion: An Enhanced SVD Model for Collaborative Filtering Recommender Systems

Collaborative filtering algorithms, such as matrix factorization techniques, are recently gaining momentum due to their promising performance on recommender systems. However, most collaborative filtering algorithms suffer from data sparsity. Active learning algorithms are effective in reducing the s...

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Bibliographic Details
Main Authors: Xin Guan, Chang-Tsun Li, Yu Guan
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Matrix factorization
recommender systems
data sparseness
rating completion
active learning
Online Access:https://ieeexplore.ieee.org/document/8119909/

Internet

https://ieeexplore.ieee.org/document/8119909/

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