Dual Auto-Encoder Based Rating Prediction Recommendation Algorithm

Dual Auto-Encoder Based Rating Prediction Recommendation Algorithm

Collaborative filtering is the most widely used method in recommendation algorithms, but it still faces the serious problem of data sparsity. Traditional collaborative filtering uses matrix decomposition to learn the latent features of users and items. As an extension model of matrix decomposition,...

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Bibliographic Details
Main Authors: Gaowei Xin, Jiwei Qin, Xiaoyuan Song, Jiong Zheng
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Recommendation algorithm
auto-encoder
Funk-SVD
sparsity
Online Access:https://ieeexplore.ieee.org/document/9885210/

Internet

https://ieeexplore.ieee.org/document/9885210/

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