Explore a cutting-edge approach to collaborative filtering in recommender systems through this 16-minute conference talk presented at SIGIR 2024. Delve into the potential of high-order connectivity in diffusion models for improving recommendation accuracy. Learn how authors Yu Hou, Jin-Duk Park, and Won-Yong Shin leverage diffusion processes to capture complex user-item interactions and enhance collaborative filtering techniques. Gain insights into the latest advancements in recommendation algorithms and their applications in various domains.
Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
SIGIR 2024 T2.2 [fp] Collaborative Filtering Based on Diffusion Models: Potential of High-Order Con
Taught by
Association for Computing Machinery (ACM)
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