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ORCID14th EC-Web 2013: Prague, Czech Republic
- Christian Huemer
, Pasquale Lops:
E-Commerce and Web Technologies - 14th International Conference, EC-Web 2013, Prague, Czech Republic, August 27-28, 2013. Proceedings. Lecture Notes in Business Information Processing 152, Springer 2013, ISBN 978-3-642-39877-3
Session 1: Opening
- Ivy Hong-Ieng Hoi, Mars Liwen Liao, Chih-Chieh Hung, Evans Tseng:
BRF: A Framework of Retrieving Brand Names of Products in Auction Sites. 1-13 - Haifeng Liu, Zheng Hu, Hui Tian, Dian Zhou:
An Adaptive Social Influence Propagation Model Based on Local Network Topology. 14-26
Session 2: Semantics and Agents
- Iosif Viktoratos, Athanasios Tsadiras, Nick Bassiliades:
A Rule Based Personalized Location Information System for the Semantic Web. 27-38 - Damian Wood, Özgür Kafali, Kostas Stathis:
: A stributed nvironment for imulating -commerce ontrac s. 39-50 - Marek Dudás, Vojtech Svátek, László Török, Ondrej Sváb-Zamazal, Benedicto Rodriguez-Castro, Martin Hepp:
Semi-automated Structural Adaptation of Advanced E-Commerce Ontologies. 51-58
Session 3: Business Processes
- Yan Tang Demey, Christophe Debruyne:
SDRule-L: Managing Semantically Rich Business Decision Processes. 59-67 - Olfa Bouchaala, Samir Tata, Mohamed Jmaiel:
A Hybrid Approach for Business Environment-Aware Management of Service-Based Business Processes. 68-79 - Minxin Shen, Duen-Ren Liu:
Discovering Workflow-Aware Virtual Knowledge Flows for Knowledge Dissemination. 80-87
Session 4: Recommender I
- Ignacio Fernández-Tobías, Iván Cantador, Laura Plaza:
An Emotion Dimensional Model Based on Social Tags: Crossing Folksonomies and Enhancing Recommendations. 88-100 - Manuel Enrich, Matthias Braunhofer, Francesco Ricci:
Cold-Start Management with Cross-Domain Collaborative Filtering and Tags. 101-112 - Saurabh Gupta, Sutanu Chakraborti:
UtilSim: Iteratively Helping Users Discover Their Preferences. 113-124
Session 5: Recommender II
- Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis:
Contextual eVSM: A Content-Based Context-Aware Recommendation Framework Based on Distributional Semantics. 125-136 - Pedro G. Campos, Ignacio Fernández-Tobías, Iván Cantador, Fernando Díez:
Context-Aware Movie Recommendations: An Empirical Comparison of Pre-filtering, Post-filtering and Contextual Modeling Approaches. 137-149 - Giuliano Armano, Alessandro Giuliani:
Matching Ads in a Collaborative Advertising System. 150-161
Session 6: Recommender III
- Simon Meyffret, Lionel Médini, Frédérique Laforest:
Confidence on Collaborative Filtering and Trust-Based Recommendations. 162-173 - Paolo Cremonesi, Franca Garzotto:
Smoothly Extending e-Tourism Services with Personalized Recommendations: A Case Study. 174-181 - Fedelucio Narducci, Cataldo Musto, Giovanni Semeraro, Pasquale Lops, Marco de Gemmis:
Exploiting Big Data for Enhanced Representations in Content-Based Recommender Systems. 182-193 - Chin-Hui Lai, Duen-Ren Liu, Mei-Lan Liu:
Recommendations Based on Different Aspects of Influences in Social Media. 194-201 - Cihan Kaleli, Huseyin Polat:
Robustness Analysis of Naïve Bayesian Classifier-Based Collaborative Filtering. 202-209
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