Resolving data sparsity by multi-type auxiliary implicit feedback for recommender systems-Reference-Cited by-同舟云学术

Resolving data sparsity by multi-type auxiliary implicit feedback for recommender systems

Author:

Guo Guibing,Qiu Huihuai,Tan Zhenhua,Liu Yuan,Ma Jing,Wang Xingwei

Funder

Natural Science Foundation of Liaoning province

Publisher

Elsevier BV

Subject

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

Reference16 articles.

1. One-class collaborative filtering;Pan,2008

2. TrustSVD: collaborative filtering with both the explicit and implicit influence of user trust and of item ratings;Guo,2015

3. Recommendation with social dimensions;Tang,2016

4. Multi-relational matrix factorization using Bayesian personalized ranking for social network data;Krohn-Grimberghe,2012

5. Leveraging social connections to improve personalized ranking for collaborative filtering;Zhao,2014

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