A Meta-adversarial Framework for Cross-Domain Cold-Start Recommendation

Abstract The cold-start problem in recommender systems has been facing a great challenge. Cross-domain recommendation can improve the performance of cold-start user recommendations in the target domain by using the rich information of users in the source domain. In cross-domain cold-start recommenda...

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Autori principali:	Yufang Liu, Shaoqing Wang, Xueting Li, Fuzhen Sun
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	SpringerOpen 2024-03-01
Serie:	Data Science and Engineering
Soggetti:	Cross-domain recommendation Cold-start recommendation Multi-level attention Meta-learning Adversarial learning
Accesso online:	https://doi.org/10.1007/s41019-024-00245-y
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