Workshop program

• 09:00 - 09:10 Welcome, Introduction

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• 09:10 - 10:10 Invited talk by Ernesto de Luca, DAI-Labor, TU Berlin
  Personalization and context-awareness in Retrieval and Recommender Systems
(slides)

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• 10:10 - 11:00 Session 1: Content-based recommendation
• Measuring Semantic Similarity using a Multi-Tree Model (20+5)
  Behnam Hajian and Tony White
  
• Keyword-Based TV Program Recommendation (20+5)
  Christian Wartena, Wout Slakhorst, Martin Wibbels, Zeno Gantner, Christoph Freudenthaler, Chris Newell and Lars Schmidt-Thieme
  

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• 11:00 - 11:30: Coffee break

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• 11:30 - 13:00: Session 2: Recommender Systems & the Social Web
• A topology-based approach for followees recommendation in Twitter (20+5)
  Marcelo G. Armentano, Daniela L. Godoy and Analía A. Amandi
  
• Context-Aware Recommendation Based On Review Mining (20+5)
  Negar Hariri, Bamshad Mobasher, Robin Burke and Yong Zheng
  
• A Bayesian Concept Learning Approach to Crowdsourcing (20+5)
  Paolo Viappiani, Sandra Zilles, Howard J. Hamilton and Craig Boutilier
  
• Using Social and Pseudo Social Networks for Improved Recommendation Quality (10+5)
  Alan Said, Ernesto W. De Luca and Sahin Albayrak
  

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• 13:00 - 14:30: Lunch break

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• 14:30 - 15:35: Session 3: User modeling & The Adaptive Web
• Modelling and Predicting Movements of Museum Visitors: A Simulation Framework for Assessing the Impact of Sensor Noise on Model Performance (20+5)
  Fabian Bohnert, Ingrid Zukerman, David W. Albrecht and Timothy Baldwin
  
• IntWEB: An AI-Based Approach for Adaptive Web (20+5)
  Oznur Kirmemis Alkan and Pinar Senkul
  
• Placing High-Diversity Items in Top-N Recommendation Lists (10+5)
  Mouzhi Ge, Fatih Gedikli and Dietmar Jannach
  

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• 15:35 - 16:30: Wrap-up and discussion

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• 16:30 - 17:00: Coffee break