Coupled Low Rank Approximation for Collaborative Filtering in Social Networks

Coupled Low Rank Approximation for Collaborative Filtering in Social Networks

Recommending items and friends are equally important in social recommendation applications. Current works usually consider them as two independent tasks and address them separately. This paper presents a new method to collaboratively perform the two tasks, in which three types of sparse data, rating...

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Bibliographic Details
Main Authors: Xianglin Zuo, Xueyan Liu, Bo Yang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Recommendation
collaborative filtering
low-rank approximation
matrix factorization
Online Access:https://ieeexplore.ieee.org/document/8292837/

Internet

https://ieeexplore.ieee.org/document/8292837/

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