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A01=Dongliang Zhou
A01=Liqiang Nie
A01=Weili Guan
A01=Xuemeng Song
Age Group_Uncategorized
Age Group_Uncategorized
Author_Dongliang Zhou
Author_Liqiang Nie
Author_Weili Guan
Author_Xuemeng Song
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Category1=Non-Fiction
Category=KJE
Category=UB
Category=UF
Category=UND
Category=UNF
Category=UNH
Category=UYA
Category=UYQE
Category=UYQM
COP=Switzerland
Delivery_Pre-order
Language_English
PA=Not yet available
Price_€20 to €50
PS=Forthcoming
softlaunch

Advanced Multimodal Compatibility Modeling and Recommendation

This Second 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 second edition 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. 

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Current price €39.59
Original price €43.99
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A01=Dongliang ZhouA01=Liqiang NieA01=Weili GuanA01=Xuemeng SongAge Group_UncategorizedAuthor_Dongliang ZhouAuthor_Liqiang NieAuthor_Weili GuanAuthor_Xuemeng Songautomatic-updateCategory1=Non-FictionCategory=KJECategory=UBCategory=UFCategory=UNDCategory=UNFCategory=UNHCategory=UYACategory=UYQECategory=UYQMCOP=SwitzerlandDelivery_Pre-orderLanguage_EnglishPA=Not yet availablePrice_€20 to €50PS=Forthcomingsoftlaunch

Will deliver when available. Publication date 30 Jan 2025

Product Details
  • Dimensions: 168 x 240mm
  • Publication Date: 30 Jan 2025
  • Publisher: Springer International Publishing AG
  • Publication City/Country: Switzerland
  • Language: English
  • ISBN13: 9783031810473

About Dongliang ZhouLiqiang NieWeili GuanXuemeng Song

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. Songs 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. Zhous 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 Xian 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 15000 Google Scholar citations.    

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