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Graph Signal Diffusion Model for Collaborative Filtering - Tutorial 2.2

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

Collaborative Filtering Courses Data Mining Courses Machine Learning Courses Recommender Systems Courses Signal Processing Courses Graph Theory Courses Information Retrieval Courses Diffusion Models Courses Graph Signal Processing Courses

Course Description

Overview

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Explore a cutting-edge approach to collaborative filtering in this 14-minute conference talk from SIGIR 2024. Delve into the Graph Signal Diffusion Model presented by authors Yunqin Zhu, Chao Wang, Qi Zhang, and Hui Xiong. Learn how this innovative technique combines graph theory and diffusion models to enhance recommendation systems. Gain insights into the application of signal processing concepts to collaborative filtering problems, potentially improving the accuracy and efficiency of personalized recommendations. Understand the implications of this research for the future of recommender systems and its potential impact on various industries utilizing collaborative filtering techniques.

Syllabus

SIGIR 2024 T2.2 [fp] Graph Signal Diffusion Model for Collaborative Filtering


Taught by

Association for Computing Machinery (ACM)

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