Recommender systems deployed at scale are predominantly organized around platform-centric architectures in which each service independently constructs and optimizes an internal representation of the user. As large language models (LLMs) become upstream entry points to digital services, personalization may be reorganize...
Jia-Hao Liu, Ming-Zhe Han, Guan Liu et al.· Proceedings of the 20th ACM...· 0 citations
This work presents UniGCRec, which constructs a cross-domain user profile from multi-domain histories and quantizes both users and items into CSC-IDs that integrate semantic and collaborative signals, effectively mitigating user-item asymmetry and enabling preference-aware selective transfer under low-overlap settings.
Chaoyue Ding, Jia-Hao Liu, Dongsheng Li et al.· Proceedings of the 32nd ACM...· 0 citations
Cross-domain sequential recommendation (CDSR) improves target-domain prediction by leveraging multi-domain interaction histories. Most CDSR methods rely on shared entities or co-occurrence signals, which become unreliable when overlap is limited, and atomic ID representations further generalize poorly to long-tail or u...
Chaoyue Ding, Jiahao Liu, Dongsheng Li et al.· Proceedings of the 32nd ACM...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
