Explore a cutting-edge conference talk on the Denoising Diffusion Recommender Model presented at SIGIR 2024. Delve into the innovative application of diffusion models in recommender systems, as discussed by authors Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng, and Tat-Seng Chua. In this 15-minute presentation, gain insights into how denoising diffusion techniques are being leveraged to enhance recommendation algorithms and improve personalized content delivery. Learn about the latest advancements in this field and understand the potential impact on future recommender system technologies.
Denoising Diffusion Recommender Model - Lecture 2.2
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
SIGIR 2024 T2.2 [fp] Denoising Diffusion Recommender Model
Taught by
Association for Computing Machinery (ACM)
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