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Titlebook: E-Commerce, and Web Technologies; 14th International C Christian Huemer,Pasquale Lops Conference proceedings 2013 Springer-Verlag Berlin He

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书目名称E-Commerce, and Web Technologies
副标题14th International C
编辑Christian Huemer,Pasquale Lops
视频videohttp://file.papertrans.cn/301/300062/300062.mp4
概述Proceedings of the 14th International Conference E-Commerce, and Web Technologies
丛书名称Lecture Notes in Business Information Processing
图书封面Titlebook: E-Commerce, and Web Technologies; 14th International C Christian Huemer,Pasquale Lops Conference proceedings 2013 Springer-Verlag Berlin He
描述This book constitutes the refereed proceedings of the 14th International Conference on Electronic Commerce and Web Technologies (EC-Web) held in Prague, Czech Republic, in August 2013. In 2013, EC-Web focused on recommender systems, semantic e-business, business services and process management, and agent-based e-commerce. The 13 full and 6 short papers accepted for EC-Web, selected from 43 submissions, were carefully reviewed based on their originality, quality, relevance, and presentation.
出版日期Conference proceedings 2013
关键词BPM; Web-based information systems; agent-based e-commerce; business process management; collaborative f
版次1
doihttps://doi.org/10.1007/978-3-642-39878-0
isbn_softcover978-3-642-39877-3
isbn_ebook978-3-642-39878-0Series ISSN 1865-1348 Series E-ISSN 1865-1356
issn_series 1865-1348
copyrightSpringer-Verlag Berlin Heidelberg 2013
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UtilSim: Iteratively Helping Users Discover Their Preferencesally updated as a user iteratively interacts with the system, helping her discover her hidden preferences in the process. We show that UtilSim, which combines domain-specific “dominance” knowledge with SimRank based similarity, significantly outperforms the existing conversational approaches using .
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Contextual eVSM: A Content-Based Context-Aware Recommendation Framework Based on Distributional Sema the experimental evaluation we carried out an extensive series of tests in order to determine the best-performing configuration among the proposed ones. We also evaluated Contextual eVSM against a state of the art dataset, and it emerged that our framework overcomes all the baselines in most of the
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Context-Aware Movie Recommendations: An Empirical Comparison of Pre-filtering, Post-filtering and Cohe recommendation algorithm used together with each contextualization approach. Nonetheless, we conclude with a number of cues and advices about which particular combinations of contextualization approaches and recommendation algorithms could be better suited for the movie recommendation domain.
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Matching Ads in a Collaborative Advertising Systemordance with the proposed approach against (i) a classical content-based system and (ii) a system that relies only on the content of similar pages (disregarding the target webpage). Experimental results confirm the validity of the approach.
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Exploiting Big Data for Enhanced Representations in Content-Based Recommender Systemsnts and user profiles in a recommendation scenario. Specifically, we compared a classical keyword-based representation with two techniques that are able to map unstructured text with Wikipedia pages. The advantage of using this representation is that documents and user profiles become richer, more h
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Evaluation of an Ordinary Share, the experimental evaluation we carried out an extensive series of tests in order to determine the best-performing configuration among the proposed ones. We also evaluated Contextual eVSM against a state of the art dataset, and it emerged that our framework overcomes all the baselines in most of the
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