E-Commerce and Web Technologies 14th International Conference, EC-Web 2013, Prague, Czech Republic, August 27-28, 2013. Proceedings /

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Huemer, Christian (Επιμελητής έκδοσης), Lops, Pasquale (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Σειρά:Lecture Notes in Business Information Processing, 152
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.