Skip to content

Author

Dong-Sheng Li

3 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Book Open access Sep 2026

User-Controlled Intent Layers for LLM-Mediated Personalization: A Research Agenda for Recommender Systems

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. · 0 citations
Book Open access Sep 2026

User-Controlled Intent Layers for LLM-Mediated Personalization: A Research Agenda for Recommender Systems

A user-controlled intent layer is defined as a user-addressable representation and governance layer between a user/assistant and downstream services, through which personalization intents can be inspected, edited, scoped, authorized, operationalized, revoked, and audited.

Jia-Hao Liu, Ming-Zhe Han, Guan Liu et al. · 0 citations
Preprint Sep 2026

FedHUR: Learning Hierarchical Utility-Guided Client Relations for Personalized Federated Recommendation

FedHUR is a federated recommendation framework for learning hierarchical utility-guided client relations that consistently outperforms existing federated recommendation baselines, demonstrating the effectiveness of hierarchical utility-guided client relation learning.

Ming-Zhe Han, Jia-Hao Liu, Dong-Sheng Li et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.