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...
| Published in: | PEERJ COMPUTER SCIENCE |
|---|---|
| Main Authors: | , , , |
| Format: | Article |
| Language: | English |
| Published: |
PEERJ INC
2024
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| Subjects: | |
| Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-recordWOS:001374782600003 |