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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Vydané v:	IEEE transactions on automation science and engineering Ročník 22; s. 15371 - 15380
Hlavní autori:	Gao, Li, Fan, Haiping, Chen, Qingkui, Yang, Heyu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 2025
Predmet:	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
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