Improving maximum margin matrix factorization

DOI10.1007/s10994-008-5073-7zbMath1464.68322OpenAlexW3016718392MaRDI QIDQ2036266

Markus Weimer, Alexandros Karatzoglou, Alexander J. Smola

Publication date: 28 June 2021

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

Full work available at URL: https://doi.org/10.1007/s10994-008-5073-7

zbMATH Keywords

collaborative filteringrecommender systemsstructured estimation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (4)

Factorizing LambdaMART for cold start recommendations ⋮ FACTORISABLE MULTITASK QUANTILE REGRESSION ⋮ Collaborative filtering using multiple binary maximum margin matrix factorizations ⋮ Reliable graph-based collaborative ranking

Cites Work

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• Learning Theory and Kernel Machines
• Learning Theory

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