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...

Full description

Saved in:

Bibliographic Details
Published in:	The review of socionetwork strategies Vol. 15; no. 2; pp. 327 - 346
Main Authors:	Lu, Yuching, Tozuka, Koki, Chakraborty, Goutam, Matsuhara, Masafumi
Format:	Journal Article
Language:	English
Published:	Tokyo Springer Japan 01.11.2021 Springer Nature B.V
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!