Advanced Multimodal Compatibility Modeling and Recommendation

Author:   Weili Guan ,  Xuemeng Song ,  Dongliang Zhou ,  Liqiang Nie
Publisher:   Springer International Publishing AG
Edition:   Third Edition 2025
ISBN:  

9783031810473


Pages:   154
Publication Date:   19 March 2025
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Advanced Multimodal Compatibility Modeling and Recommendation


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Author:   Weili Guan ,  Xuemeng Song ,  Dongliang Zhou ,  Liqiang Nie
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Third Edition 2025
ISBN:  

9783031810473


ISBN 10:   3031810473
Pages:   154
Publication Date:   19 March 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction.- Related Work.- Category-guided Multimodal Compatibility Modeling.- Try-on-guided Multimodal Compatibility Modeling.- Attribute-enhanced Multimodal Recommendation.- Modality Correlation-based Multimodal Recommendation.- Efficient Hashing-based Multimodal Recommendation.- Research Frontiers.

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Author Information

Weili Guan, Ph.D. is a Professor at the Harbin Institute of Technology School of Electronics and Information Engineering. She received her M.S. from the National University of Singapore and her Ph.D. from Monash University. Her research interests are multimedia computing and information retrieval. Dr. Guan has published more than 40 papers at first-tier conferences and journals including ACM MM, SIGIR, IEEE TPAMI, and IEEE TIP. Xuemeng Song, Ph.D., is an Associate Professor at the Shandong University School of Computer Science and Technology. She received her B.E. from the University of Science and Technology of China and her Ph.D. from the National University of Singapore School of Computing. Dr. Song’s research interests include information retrieval and social network analysis. She has published several papers in the top venues, such as IEEE TPAMI, ACM SIGIR, MM, TIP, and TOIS. In addition, she has served as a reviewer for many top conferences and journals. Dongliang Zhou, Ph.D., is a Postdoctoral Researcher at the Harbin Institute of Technology. He received his Ph.D. from the School of Computer Science and Technology at the Harbin Institute of Technology. Dr. Zhou’s research  focuses on multimedia computing, multimodal learning, and image synthesis. He also serves as a reviewer for top journals and conferences, such as IJCV, IEEE TNNLS, IEEE/CVF CVPR, and ACM MM. Liqiang Nie, Ph.D., is the Dean of the Department of Computer Science and Technology at the Harbin Institute of Technology. He received his B.Eng. from Xi’an Jiaotong University and his Ph.D. from National University of Singapore. His research interests lie primarily in multimedia computing and information retrieval. Dr. Nie has co-authored more than 100 papers and four books and has received more than 15,000 Google Scholar citations.    

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