Semantic ID-based generative recommendation represents each item as a sequence of discrete tokens, enabling structured modeling of item semantics. A critical challenge is constructing semantic IDs that are both semantically expressive and computationally efficient. While recent approaches favor complex learned quantiza...
Yu-Qing Liu, Hui-Yuan Chen, Yi-Bo Wang et al.· 0 citations
An agent-based recommendation framework, memory-based Personalized Recommendation Tool learning via autonomous language Agents (PRTA), in which an LLM acts as a central planner interacting with multiple recommendation models as tools, demonstrating the superiority of PRTA over traditional recommendation and LLM-based b...
Ming-Dai Yang, Zhi-Wei Liu, Wei-Zhi Zhang et al.· Proceedings of the 20th ACM...· 1 citation
This survey investigates the current research landscape of multimodality modeling from three perspectives: the first group of multimodal models adopts a heterogeneous architecture to bridge different modality data, the second leverages LLM for multimodality modeling via a unified language modeling objective, and the th...
Zhongfen Deng, Yibo Wang, Yueqing Liang et al.· 2 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.