Improving performance of tensor-based context-aware recommenders using Bias Tensor Factorization with context feature auto-encoding-Reference-Cited by-同舟云学术

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Improving performance of tensor-based context-aware recommenders using Bias Tensor Factorization with context feature auto-encoding

Published:2017-07 Issue: Volume:128 Page:71-77
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Wu Wenmin,Zhao Jianli,Zhang Chunsheng,Meng Fang,Zhang Zeli,Zhang Yang,Sun Qiuxia

Funder

The Nature Science Foundation of China Province

The Nature Science Foundation of Shandong Province

The National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference29 articles.

1. Introduction to recommender systems handbook;Ricci;Recommender Syst. Handb.,2010

2. Recommender systems;Resnick;Commun. Acm,1997

3. Empirical analysis of predictive algorithms for collaborative filtering;Breese,2013

4. An automatic weighting scheme for collaborative filtering;Jin,2010

5. GroupLens: an open architecture for collaborative filtering of netnews;Resnick,1994

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