GPT4Rec: Graph Prompt Tuning for Streaming Recommendation - Tutorial 2.5

GPT4Rec: Graph Prompt Tuning for Streaming Recommendation - Tutorial 2.5

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.