Hierarchical matrix factorization for interpretable collaborative filtering

Kai Sugahara; Kazushi Okamoto

doi:10.1016/j.patrec.2024.03.003

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Hierarchical matrix factorization for interpretable collaborative filtering

Kai Sugahara Kazushi Okamoto

Year: 2024 Journal: Pattern Recognition Letters Vol: 180 Pages: 99-106 Publisher: Elsevier BV

DOI: 10.1016/j.patrec.2024.03.003

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Keywords:

Matrix decomposition Computer science Collaborative filtering Artificial intelligence Matrix (chemical analysis) Factorization Pattern recognition (psychology) Mathematics Algorithm Algebra over a field Machine learning Recommender system Pure mathematics Eigenvalues and eigenvectors

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Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Data Mining Algorithms and Applications

Physical Sciences → Computer Science → Information Systems

Semantic Web and Ontologies

Physical Sciences → Computer Science → Artificial Intelligence

Hierarchical matrix factorization for interpretable collaborative filtering

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