A bandit method using probabilistic matrix factorization in recommendation

Shitao Tu; Lanjuan Zhu

doi:10.1007/s12204-015-1618-7

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A bandit method using probabilistic matrix factorization in recommendation

Shitao Tu Lanjuan Zhu

Year: 2015 Journal: Journal of Shanghai Jiaotong University (Science) Vol: 20 (5)Pages: 535-539 Publisher: Springer Science+Business Media

DOI: 10.1007/s12204-015-1618-7

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Keywords:

Recommender system Collaborative filtering Computer science MovieLens Matrix decomposition Probabilistic logic Context (archaeology) Machine learning Artificial intelligence Selection (genetic algorithm) Cold start (automotive) Sparse matrix Upper and lower bounds Mathematical optimization Mathematics Engineering

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Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Advanced Bandit Algorithms Research

Social Sciences → Decision Sciences → Management Science and Operations Research

Advanced Wireless Network Optimization

Physical Sciences → Engineering → Electrical and Electronic Engineering

A bandit method using probabilistic matrix factorization in recommendation

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