One-class collaborative filtering based on rating prediction and ranking prediction

Author:

Li Gai,Zhang Zhiqiang,Wang Liyang,Chen Qiang,Pan Jincai

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Science and Technology Planning Project of Guangdong Province

Science and Technology Planning Project of Guangzhou

Guangdong University of Education

College Students' Science and Technology Innovation fund of Guangdong Province

Publisher

Elsevier BV

Subject

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

Reference38 articles.

1. Toward the next generation of Recommender systems: a survey of the state-of-the-art and possible extensions;Adomavicius;IEEE Trans. Knowl. Data Eng.,2005

2. Recommender System Handbook;Ricci,2011

3. Pairwise probabilistic matrix factorization for implicit feedback collaborative filtering;Li;Neurocomputing,2016

4. Robust personalized ranking from implicit feedback;Li;Int. J. Pattern Recognit. Artif. Intell.,2016

5. Exploiting explicit and implicit feedbacks for personalized ranking;Li;Math. Prob. Eng.,2016

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