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Titlebook: E-Commerce and Web Technologies; 16th International C Heiner Stuckenschmidt,Dietmar Jannach Conference proceedings 2015 Springer Internatio

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書目名稱E-Commerce and Web Technologies
副標題16th International C
編輯Heiner Stuckenschmidt,Dietmar Jannach
視頻videohttp://file.papertrans.cn/301/300059/300059.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Business Information Processing
圖書封面Titlebook: E-Commerce and Web Technologies; 16th International C Heiner Stuckenschmidt,Dietmar Jannach Conference proceedings 2015 Springer Internatio
描述.This book constitutes the revised proceedings of the 16th International Conference on Electronic Commerce and Web Technologies (EC-Web) held in Valencia, Spain, in September 2015..The 10 full papers included in this volume were carefully reviewed and selected from 28 submissions. The papers are organized in topical sections on recommender systems, multimedia recommendation, social and semantic web; and process management.?.
出版日期Conference proceedings 2015
關鍵詞Recommender Systems; Multimedia and multimodal retrieval; Social media; Semantic networks; E-Commerce; Li
版次1
doihttps://doi.org/10.1007/978-3-319-27729-5
isbn_softcover978-3-319-27728-8
isbn_ebook978-3-319-27729-5Series ISSN 1865-1348 Series E-ISSN 1865-1356
issn_series 1865-1348
copyrightSpringer International Publishing Switzerland 2015
The information of publication is updating

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https://doi.org/10.1007/978-3-319-27729-5Recommender Systems; Multimedia and multimodal retrieval; Social media; Semantic networks; E-Commerce; Li
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978-3-319-27728-8Springer International Publishing Switzerland 2015
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Conference proceedings 2015cia, Spain, in September 2015..The 10 full papers included in this volume were carefully reviewed and selected from 28 submissions. The papers are organized in topical sections on recommender systems, multimedia recommendation, social and semantic web; and process management.?.
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https://doi.org/10.1007/978-1-349-18636-5ion. In this work we address a particular product recommendation setting — small-scale retail websites where the small amount of returning customers makes traditional user-centric personalization techniques inapplicable. We apply an item-centric product recommendation strategy which combines two wel
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