Holdings: Advanced Multimodal Compatibility Modeling and Recommendation

Advanced Multimodal Compatibility Modeling and Recommendation:

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Bibliographic Details
Main Authors:	Guan, Weili (Author), Song, Xuemeng (Author), Zhou, Dongliang (Author), Nie, Liqiang (Author)
Format:	Electronic eBook
Language:	English
Published:	Cham Springer Nature Switzerland 2025 Cham Springer
Edition:	3rd ed. 2025
Series:	Synthesis Lectures on Information Concepts, Retrieval, and Services
Subjects:	Information Storage and Retrieval Machine Learning Computer and Information Systems Applications e-Commerce and e-Business Models of Computation Data Mining and Knowledge Discovery Information storage and retrieval systems Machine learning Application software Electronic commerce Computer science Data mining
Online Access:	DE-573 DE-92 DE-703 Volltext
Physical Description:	1 Online-Ressource (XII, 154 p. 47 illus., 46 illus. in color)
ISBN:	9783031810480
ISSN:	1947-9468
DOI:	10.1007/978-3-031-81048-0

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Record in the Search Index

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indexdate	2025-04-01T10:01:03Z
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isbn	9783031810480
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language	English
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physical	1 Online-Ressource (XII, 154 p. 47 illus., 46 illus. in color)
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publishDate	2025
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series2	Synthesis Lectures on Information Concepts, Retrieval, and Services
spelling	Guan, Weili Verfasser aut Advanced Multimodal Compatibility Modeling and Recommendation by Weili Guan, Xuemeng Song, Dongliang Zhou, Liqiang Nie 3rd ed. 2025 Cham Springer Nature Switzerland 2025 Cham Springer 1 Online-Ressource (XII, 154 p. 47 illus., 46 illus. in color) txt rdacontent c rdamedia cr rdacarrier Synthesis Lectures on Information Concepts, Retrieval, and Services 1947-9468 Information Storage and Retrieval Machine Learning Computer and Information Systems Applications e-Commerce and e-Business Models of Computation Data Mining and Knowledge Discovery Information storage and retrieval systems Machine learning Application software Electronic commerce Computer science Data mining Song, Xuemeng aut Zhou, Dongliang aut Nie, Liqiang aut Erscheint auch als Druck-Ausgabe 978-3-031-81047-3 Erscheint auch als Druck-Ausgabe 978-3-031-81049-7 Erscheint auch als Druck-Ausgabe 978-3-031-81050-3 https://doi.org/10.1007/978-3-031-81048-0 Verlag URL des Erstveröffentlichers Volltext
spellingShingle	Guan, Weili Song, Xuemeng Zhou, Dongliang Nie, Liqiang Advanced Multimodal Compatibility Modeling and Recommendation Information Storage and Retrieval Machine Learning Computer and Information Systems Applications e-Commerce and e-Business Models of Computation Data Mining and Knowledge Discovery Information storage and retrieval systems Machine learning Application software Electronic commerce Computer science Data mining
title	Advanced Multimodal Compatibility Modeling and Recommendation
title_auth	Advanced Multimodal Compatibility Modeling and Recommendation
title_exact_search	Advanced Multimodal Compatibility Modeling and Recommendation
title_full	Advanced Multimodal Compatibility Modeling and Recommendation by Weili Guan, Xuemeng Song, Dongliang Zhou, Liqiang Nie
title_fullStr	Advanced Multimodal Compatibility Modeling and Recommendation by Weili Guan, Xuemeng Song, Dongliang Zhou, Liqiang Nie
title_full_unstemmed	Advanced Multimodal Compatibility Modeling and Recommendation by Weili Guan, Xuemeng Song, Dongliang Zhou, Liqiang Nie
title_short	Advanced Multimodal Compatibility Modeling and Recommendation
title_sort	advanced multimodal compatibility modeling and recommendation
topic	Information Storage and Retrieval Machine Learning Computer and Information Systems Applications e-Commerce and e-Business Models of Computation Data Mining and Knowledge Discovery Information storage and retrieval systems Machine learning Application software Electronic commerce Computer science Data mining
topic_facet	Information Storage and Retrieval Machine Learning Computer and Information Systems Applications e-Commerce and e-Business Models of Computation Data Mining and Knowledge Discovery Information storage and retrieval systems Machine learning Application software Electronic commerce Computer science Data mining
url	https://doi.org/10.1007/978-3-031-81048-0
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