Factorizing LambdaMART for cold start recommendations

DOI10.1007/s10994-016-5579-3zbMath1386.68135arXiv1511.01282OpenAlexW2229100616MaRDI QIDQ331672

Mohammad Hasan, M. Dambrine

Publication date: 27 October 2016

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1511.01282

zbMATH Keywords

regularizationmatrix factorizationlambdamartrecommendation systems

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.) (68U35)

Uses Software

• LambdaMF
• LambdaMART

Cites Work

• Unnamed Item
• Greedy function approximation: A gradient boosting machine.
• Improving maximum margin matrix factorization
• Preference Learning: An Introduction
• Metalearning

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