IDGenRec: LLM-RecSys Alignment with Textual ID Learning - Lecture 1
Offered By: Association for Computing Machinery (ACM) via YouTube
Course Description
Overview
Explore a cutting-edge conference talk on aligning recommender systems with large language models through textual ID learning. Delve into the innovative IDGenRec approach presented by authors Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, and Yongfeng Zhang. Learn how this method bridges the gap between traditional recommender systems and the capabilities of LLMs, potentially revolutionizing personalized content recommendations. Gain insights into the technical aspects and potential applications of this alignment technique in just 14 minutes.
Syllabus
SIGIR 2024 M1.6 [fp] IDGenRec: LLM-RecSys Alignment with Textual ID Learning
Taught by
Association for Computing Machinery (ACM)
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