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
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.· Proceedings of the 20th ACM...· 0 citations
KAR, an entity-guided retrieval baseline built on CultureBase is introduced and MemeBench is introduced, a diagnostic benchmark of 1,253 Chinese and English memes with human-written references and quality-controlled VIKR annotations, centered on anime, comics, games, and adjacent online subcultures, to reveal whether a...
This work introduces MemeMind, which uses an offline reference answer to recover missing experience in Anime, Comic, and Game meme interpretation and shows that constructing successful tool use for failed groups provides the largest component gain and produces more effective evidence acquisition at inference time.
Run Yang, Weihang Wang, Boheng Sheng et al.· 1 citation
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