YoVDO

Diffusion Models for Generative Outfit Recommendation - Session T2.2

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

Tags

Diffusion Models Courses Machine Learning Courses Computer Vision Courses Recommender Systems Courses Fashion Courses Generative AI Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a 12-minute conference talk presented at SIGIR 2024 that delves into the application of diffusion models for generative outfit recommendation. Learn how authors Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, and Xiangnan He leverage advanced machine learning techniques to revolutionize personalized fashion recommendations. Gain insights into the intersection of recommender systems and diffusion models, and discover how these innovative approaches are shaping the future of AI-driven fashion curation.

Syllabus

SIGIR 2024 T2.2 [fp] Diffusion Models for Generative Outfit Recommendation


Taught by

Association for Computing Machinery (ACM)

Related Courses

Introduction to Recommender Systems
University of Minnesota via Coursera Text Retrieval and Search Engines
University of Illinois at Urbana-Champaign via Coursera Machine Learning: Recommender Systems & Dimensionality Reduction
University of Washington via Coursera Java Programming: Build a Recommendation System
Duke University via Coursera Introduction to Recommender Systems: Non-Personalized and Content-Based
University of Minnesota via Coursera