A Novel Item Cluster-Based Collaborative Filtering Recommendation System

Recent exponential expansion of users adopting to applications on the mobile internet, like e-commerce and social networks, warrants mining of the huge data collected from users’ past actions, for improving businesses and services. The core step for mining is to cluster the data meaningfully, confor...

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Veröffentlicht in:	The review of socionetwork strategies Jg. 15; H. 2; S. 327 - 346
Hauptverfasser:	Lu, Yuching, Tozuka, Koki, Chakraborty, Goutam, Matsuhara, Masafumi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Tokyo Springer Japan 01.11.2021 Springer Nature B.V
Schlagworte:	Algorithms Annotations Business and Management Clustering Data points Distance measurement Information Systems Applications (incl.Internet) IT in Business Motion pictures Performance evaluation Recommender systems Similarity Simulation and Modeling Social networks Structured data Fractional norm Adjacency matrix Similarity metrics Spectral clustering Cluster evaluation
ISSN:	2523-3173, 1867-3236
Online-Zugang:	Volltext
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