Community-Based Matrix Factorization (CBMF) Approach for Enhancing Quality of Recommendations

Community-Based Matrix Factorization (CBMF) Approach for Enhancing Quality of Recommendations

Matrix factorization is a long-established method employed for analyzing and extracting valuable insight recommendations from complex networks containing user ratings. The execution time and computational resources demanded by these algorithms pose limitations when confronted with large datasets. Co...

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Bibliographic Details
Main Authors: Srilatha Tokala, Murali Krishna Enduri, T. Jaya Lakshmi, Hemlata Sharma
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Entropy
Subjects:
matrix factorization
recommender system
community detection
rating network
RMSE
Online Access:https://www.mdpi.com/1099-4300/25/9/1360

Internet

https://www.mdpi.com/1099-4300/25/9/1360

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