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OverviewFull Product DetailsAuthor: Weili Guan , Xuemeng Song , Dongliang Zhou , Liqiang NiePublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: Third Edition 2025 ISBN: 9783031810473ISBN 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 ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsIntroduction.- 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.ReviewsAuthor InformationWeili 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. Tab Content 6Author Website:Countries AvailableAll regions |