A Social Recommender Based on Factorization and Distance Metric Learning

A Social Recommender Based on Factorization and Distance Metric Learning

Traditional recommender systems often suffer from the problem of data sparsity, because most users rate only a few of the millions of possible items. With the development of social platforms, incorporating abundant social relationships into recommenders can help to overcome this issue, because users...

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Bibliographic Details
Main Authors: Junliang Yu, Min Gao, Wenge Rong, Yuqi Song, Qingyu Xiong
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Social recommendations
distance learning
collaborative filtering
matrix factorization
Online Access:https://ieeexplore.ieee.org/document/8066292/

Internet

https://ieeexplore.ieee.org/document/8066292/

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