Cantitate/Preț
Produs
Total produse
Vezi coșul
Advanced Multimodal Compatibility Modeling and Recommendation de Weili Guan

Advanced Multimodal Compatibility Modeling and Recommendation: Synthesis Lectures on Information Concepts, Retrieval, and Services

Autor Weili Guan, Xuemeng Song, Dongliang Zhou, Liqiang Nie
en Limba Engleză Hardback – 19 mar 2025
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.
Citește tot Restrânge

Din seria Synthesis Lectures on Information Concepts, Retrieval, and Services

Preț: 27883 lei

Preț vechi: 34854 lei
-20%

Puncte Express: 418

Carte tipărită la comandă

Livrare economică 03-09 decembrie

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit de la 40000 lei Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9783031810473
ISBN-10: 3031810473
Pagini: 168
Dimensiuni: 173 x 246 x 15 mm
Greutate: 0.41 kg
Ediția:Third Edition 2025
Editura: birkhäuser
Colecția Synthesis Lectures on Information Concepts, Retrieval, and Services
Seria Synthesis Lectures on Information Concepts, Retrieval, and Services

Notă biografică

Meng Liu is a Professor in the School of Computer Science and Technology at Shandong Jianzhu University. She received her PhD from Shandong University, China, in 2019. Her research interests include multimedia computing and information retrieval. She has co-authored over 70 papers in leading conferences and journals, including ICML, CVPR, IEEE TPAMI, and IEEE TIP. She has also served as a reviewer and area chair for conferences such as ICLR, CVPR, AAAI, ICME, and ACM MM, as well as a reviewer for journals such as IEEE TIP and IEEE TMM.

Yupeng Hu is currently an Associate Professor in the School of Software at Shandong University. He received his Ph.D. in Software Engineering from Shandong University, Jinan, China, in 2018. His research interests include information retrieval, data mining, and explainable AI. He has published his work in leading journals and conferences, such as IEEE TIP and ACM MM. He has also served as a reviewer for ACM MM, ACL, and AAAI, and as a reviewer for IEEE TKDE and IEEE TMM.

Weili Guan is currently a Professor in the School of Electronics and Information Engineering at Harbin Institute of Technology (Shenzhen), China. She received her Master’s degree from the National University of Singapore and her Ph.D. from Monash University. She has approximately six years of experience working in industry. Her research interests include multimedia computing and information retrieval. She has published over 40 papers in top-tier conferences and journals, including ACM MM, SIGIR, IEEE TPAMI, and IEEE TIP.

Liqiang Nie is a Professor in the School of Computer Science and Technology at Harbin Institute of Technology (Shenzhen). He received his B.Eng. from Xi’an Jiaotong University and his Ph.D. from the National University of Singapore. His research interests focus primarily on multimedia computing and information retrieval. Dr. Nie has co-authored over 100 papers and four books, amassing more than 15,000 citations on Google Scholar. He serves as an Associate Editor for IEEE TKDE, IEEE TMM, IEEE TCSVT, and ACM ToMM, and regularly acts as an Area Chair for ACM MM, NeurIPS, IJCAI, and AAAI. He has received numerous honors, including an Honorable Mention for Best Paper at both ACM MM and SIGIR in 2019, the SIGMM Rising Star award in 2020, TR35 China 2020, DAMO Academy Young Fellow in 2020, and the SIGIR Best Student Paper award in 2021.