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On Generative Agents in Recommendation - Tutorial 2.5

Offered By: Association for Computing Machinery (ACM) via YouTube

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Course Description

Overview

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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.

Syllabus

SIGIR 2024 T2.5 [pp] On Generative Agents in Recommendation


Taught by

Association for Computing Machinery (ACM)

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