Federated learning-driven collaborative recommendation system for multi-modal art analysis and enhanced recommendations

With the rapid development of artificial intelligence technology, recommendation systems have been widely applied in various fi elds. However, in the art fi eld, art similarity search and recommendation systems face unique challenges, namely data privacy and copyright protection issues. To address t...

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Bibliographic Details
Published in:PEERJ COMPUTER SCIENCE
Main Authors: Gong, Bei; Mahsan, Ida Puteri; Xiao, Junhua
Format: Article
Language:English
Published: PEERJ INC 2024
Subjects:
Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-recordWOS:001374782600003

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