Explore a 16-minute conference talk from the Association for Computing Machinery (ACM) that delves into the innovative GPT4Rec system for streaming recommendations. Learn about graph prompt tuning techniques and their application in recommender systems. Discover how authors Peiyan Zhang, Yuchen Yan, Chaozhuo Li, Liying Kang, Xi Zhang, Feiran Huang, Senzhang Wang, and Sunghun Kim leverage prompts, instructions, and large language models to enhance recommendation algorithms. Gain insights into cutting-edge approaches for improving real-time content suggestions in dynamic streaming environments.
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation - Tutorial 2.5
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
SIGIR 2024 T2.5 [fp] GPT4Rec: Graph Prompt Tuning for Streaming Recommendation
Taught by
Association for Computing Machinery (ACM)
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