Social regularized von Mises-Fisher mixture model for item recommendation

DOI10.1007/s10618-017-0499-9zbMath1411.68153OpenAlexW2597760014MaRDI QIDQ1741331

Mohamed Nadif, Aghiles Salah

Publication date: 3 May 2019

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-017-0499-9

zbMATH Keywords

von Mises-Fisher distributionmixture modelscollaborative filteringrecommender systemsdirectional statistics

Mathematics Subject Classification ID

Directional data; spatial statistics (62H11) Social networks; opinion dynamics (91D30) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items

Semi-supervised latent block model with pairwise constraints ⋮ Recent advances in directional statistics ⋮ Regularized bi-directional co-clustering ⋮ Directional co-clustering

Cites Work

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• Probabilistic Approaches to Recommendations
• Block Bernoulli Parsimonious Clustering Models
• Concept decompositions for large sparse text data using clustering

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