Novel Distributed Multimedia Recommendation Systems Using Personalized Information

In this paper, we propose a novel distributed multimedia recommendation system (DMRS) to address personalized preference by use of the matrix-sketching approach for dimensionality reduction and local information updates. Conventional recommendation systems can hardly address scalability, privacy, an...

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Veröffentlicht in:	IEEE transactions on broadcasting S. 1 - 12
Hauptverfasser:	Chang, Shih Yu, Wu, Hsiao-Chun, Yan, Kun, Huang, Scott Chih-Hao, Wu, Yiyan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2025
Schlagworte:	Collaborative filtering Digital multimedia broadcasting Dimensionality reduction Distributed databases Distributed multimedia recommendation system (DMRS) Electronic mail matrix sketching Multimedia systems normalized root-mean-square error (NRMSE) Privacy randomized matrix-factorization algorithm Recommender systems Robustness Servers ϵ-robustness
ISSN:	0018-9316, 1557-9611
Online-Zugang:	Volltext
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