Enhancing social collaborative filtering through the application of non-negative matrix factorization and exponential random graph models

DOI10.1007/S10618-017-0504-3zbMath1409.68286OpenAlexW2600989482WikidataQ114827252 ScholiaQ114827252MaRDI QIDQ1741167

Georgios Siolas, Georgios Alexandridis, Andreas N. Stafylopatis

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/s10618-017-0504-3

zbMATH Keywords

recommender systemsnon-negative matrix factorizationexponential random graph modelssocial collaborative filtering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Social networks; opinion dynamics (91D30) Small world graphs, complex networks (graph-theoretic aspects) (05C82) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Cites Work

• Learning the parts of objects by non-negative matrix factorization
• Networks
• Unnamed Item

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