Field-Aware Matrix Factorization for Recommender Systems

Field-Aware Matrix Factorization for Recommender Systems

Predicting user response is one of the core machine learning tasks in recommender systems (RS). The matrix factorization (MF)-based model has been proved to be a useful tool to improve the performance of recommendation. Many existing matrix factorization-based models mainly rely on adding some side...

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Bibliographic Details
Main Authors: Zhiyuan Zhang, Yun Liu, Zhenjiang Zhang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Recommender systems
matrix factorization
machine learning
field
Online Access:https://ieeexplore.ieee.org/document/8241366/

Internet

https://ieeexplore.ieee.org/document/8241366/

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