Factorizing LambdaMART for cold start recommendations

Phong Nguyen; Jun Wang; Alexandros Kalousis

doi:10.1007/s10994-016-5579-3

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JOURNAL ARTICLE

Factorizing LambdaMART for cold start recommendations

Phong Nguyen Jun Wang Alexandros Kalousis

Year: 2016 Journal: Machine Learning Vol: 104 (2-3)Pages: 223-242 Publisher: Springer Science+Business Media

DOI: 10.1007/s10994-016-5579-3

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Keywords:

Cold start (automotive) Learning to rank Computer science Matrix decomposition Metric (unit) Recommender system Regularization (linguistics) Rank (graph theory) Relevance (law) Machine learning Artificial intelligence Preference Mean squared error Information retrieval Ranking (information retrieval) Mathematics Statistics

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2.66

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0.92

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Topics

Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Advanced Bandit Algorithms Research

Social Sciences → Decision Sciences → Management Science and Operations Research

Stochastic Gradient Optimization Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Factorizing LambdaMART for cold start recommendations

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Citation History

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