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130822s2013 gw | s |||| 0|eng d |
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|a 9783642398780
|9 978-3-642-39878-0
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|a 10.1007/978-3-642-39878-0
|2 doi
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|a HF54.5-54.56
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|a COM039000
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|a 650
|2 23
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|a Huemer, Christian.
|e editor.
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|a E-Commerce and Web Technologies
|b 14th International Conference, EC-Web 2013, Prague, Czech Republic, August 27-28, 2013. Proceedings /
|c edited by Christian Huemer, Pasquale Lops.
|h [electronic resource] :
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|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg :
|b Imprint: Springer,
|c 2013.
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|a XIV, 211 p. 71 illus.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|b cr
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|a text file
|b PDF
|2 rda
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|a Lecture Notes in Business Information Processing,
|v 152
|x 1865-1348 ;
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|a Session 1: Opening -- BRF: A Framework of Retrieving Brand Names of Products in Auction Sites -- An Adaptive Social Influence Propagation Model Based on Local Network Topology -- Session 2: Semantics and Agents -- A Rule Based Personalized Location Information System for the Semantic Web -- DIESECT: A Distributed Environment for Simulating E-commerce Contracts -- Semi-automated Structural Adaptation of Advanced E-Commerce Ontologies -- Session 3: Business Processes -- SDRule-L: Managing Semantically Rich Business Decision Processes -- A Hybrid Approach for Business Environment-Aware Management of Service-Based Business Processes -- Discovering Workflow-Aware Virtual Knowledge Flows for Knowledge Dissemination -- Session 4: Recommender I -- An Emotion Dimensional Model Based on Social Tags: Crossing Folksonomies and Enhancing Recommendations -- Cold-Start Management with Cross-Domain Collaborative Filtering and Tags -- UtilSim: Iteratively Helping Users Discover Their Preferences -- Session 5: Recommender II -- Contextual eVSM: A Content-Based Context-Aware Recommendation Framework Based on Distributional Semantics -- Context-Aware Movie Recommendations: An Empirical Comparison of Pre-filtering, Post-filtering and Contextual Modeling Approaches -- Matching Ads in a Collaborative Advertising System -- Session 6: Recommender III -- Confidence on Collaborative Filtering and Trust-Based Recommendations -- Smoothly Extending e-Tourism Services with Personalized Recommendations: A Case Study -- Exploiting Big Data for Enhanced Representations in Content-Based Recommender Systems -- Recommendations Based on Different Aspects of Influences in Social Media -- Robustness Analysis of Naive Bayesian Classifier-Based Collaborative Filtering.
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|a 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.
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|a Economics.
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|a Artificial intelligence.
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|a Information systems.
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|a Management information systems.
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|a Economics/Management Science.
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|a Business Information Systems.
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|a e-Commerce/e-business.
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|a Computer Appl. in Administrative Data Processing.
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650 |
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|a Artificial Intelligence (incl. Robotics).
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2 |
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|a Information Systems Applications (incl. Internet).
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|a Lops, Pasquale.
|e editor.
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|a SpringerLink (Online service)
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|t Springer eBooks
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|i Printed edition:
|z 9783642398773
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|a Lecture Notes in Business Information Processing,
|v 152
|x 1865-1348 ;
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4 |
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|u https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-3-642-39878-0
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|a ZDB-2-SCS
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950 |
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|a Computer Science (Springer-11645)
|