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Collaborative Filtering Based on Diffusion Models: Unveiling the Potential of High-Order Connectivity

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

Tags

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

Course Description

Overview

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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.

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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