Multi-Modal Self-Supervised Learning Algorithm-Based Product Recommendation

With the rise of e-commerce, personalized recommendation algorithms have received much attention in recent years. Meanwhile, multimodal recommendation algorithms have become the next competitive track of personalized recommendation. The current mainstream recommendation algorithms (e.g., NeuMF, NGCF...

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Veröffentlicht in:	IEEE transactions on automation science and engineering Jg. 22; S. 15371 - 15380
Hauptverfasser:	Gao, Li, Fan, Haiping, Chen, Qingkui, Yang, Heyu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	IEEE 2025
Schlagworte:	artificial intelligence Collaborative filtering Computational modeling Data mining Data models Feature extraction Motion pictures Prediction algorithms predictive models Recommender system Recommender systems Self-supervised learning Training
ISSN:	1545-5955, 1558-3783
Online-Zugang:	Volltext
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