Explore the potential of generative agents in recommendation systems through this 15-minute conference talk presented at SIGIR 2024. Delve into the innovative use of prompts, instructions, and large language models (LLMs) to enhance recommender systems. Learn from authors An Zhang, Yuxin Chen, Leheng Sheng, Xiang Wang, and Tat-Seng Chua as they discuss cutting-edge approaches to improving personalized recommendations using generative AI technologies.
On Generative Agents in Recommendation - Tutorial 2.5
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
SIGIR 2024 T2.5 [pp] On Generative Agents in Recommendation
Taught by
Association for Computing Machinery (ACM)
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