Advanced Multimodal Compatibility Modeling and Recommendation
Author | : Weili Guan |
Publisher | : Springer Nature |
Total Pages | : 165 |
Release | : 2025-03-18 |
ISBN-10 | : 9783031810480 |
ISBN-13 | : 3031810481 |
Rating | : 4/5 (481 Downloads) |
Download or read book Advanced Multimodal Compatibility Modeling and Recommendation written by Weili Guan and published by Springer Nature. This book was released on 2025-03-18 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Third Edition sheds light on state-of-the-art theories and practices in multimodal compatibility modeling and recommendation, offering comprehensive insights into this evolving field. This topic, and fashion compatibility modeling in particular, has garnered increasing research attention in recent years due to the significant economic impact of e-commerce. Building upon recent research and the prior edition, the authors present a series of graph-learning based multimodal compatibility modeling schemes, all of which have been proven to be effective over several public real-world datasets. This book introduces a number of advanced multimodal compatibility modeling and recommendation methods, including category-guided multimodal compatibility modeling and try-on-guided multimodal compatibility modeling. The authors also provide comprehensive solutions, including correlation-oriented graph learning, modality-oriented graph learning, unsupervised disentangled graph learning, partially supervised disentangled graph learning, and metapath-guided heterogeneous graph learning.