9.15‐9.30: Introduction
9.30‐10.30 Invited Talk: Dietmar Jannach – Interacting with Recommender Systems
10.30-11.00 Coffee break
Session 1: Interation Mechanisms
11.00‐11.30 Enhancing an Interactive Recommendation System with Review-based Information Filtering – Jan Feuerbach, Benedikt Loepp, Catalin-Mihai Barbu and Jürgen Ziegler
11.30-12.00 Enhancing Recommendation Diversity Through a Dual Recommendation Interface –Chun-Hua Tsai and Peter Brusilovsky
12.00-12.15 Demo: Chusapedia: Integrating and Applying Knowledge About Human Choice Support – Anthony Jameson
12.15-12.30 Demo: Moodplay: Interactive Mood-aware Music Recommendation – Raimundo Herrera, Ivana Andjelkovic, John O’Donovan, Denis Parra
12.30-14.00 Lunch
Session 2: Visualization
14.00‐14.20 IntersectionExplorer: the Flexibility of Multiple Perspectives – Bruno Cardoso, Peter Brusilovsky and Katrien Verbert
14.20‐14.40 User Model Dimensions for Personalizing the Presentation of Recommendations – Catalin-Mihai Barbu and Jürgen Ziegler
Session 3: Preference Elicitation
14.40‐15.10 Rating by Ranking: An Improved Scale for Judgement-Based Labels – Jack O’Neill, Sarah Jane Delany and Brian Mac Namee
15.10‐15.30 Learning Binary Preference Relations: Analysis of logic-based versus statistical approaches – Nunung Nurul Qomariyah and Dimitar Kazakov
15.30-16.00 Coffee break
Session 4: Cognitive Factors
16.00-16.20 How Do Different Levels of User Control Affect Cognitive Load and Acceptance of Recommendations? – Yucheng Jin, Bruno Cardoso and Katrien Verbert.
16.20-16.40 Guided Exploration of the Domain Space of Study Programs — Recommenders in improving student awareness on the choices made during enrollment – Vangel Ajanovski
16.40-16.55 Demo: RecommendAR: Building Trust in Recommendations with Augmented Reality – Brandon Huynh, Adam Ibrahim, Tobias Hollerer, Yun-Suk Chang, John O’Donovan
16.55-17.10 Demo: Using Ephemeral Context to Create Diverse Recommendations – Pavel Kucherbaev, Nava Tintarev, and Carlos Rodriguez
17.25-17.40 Wrap-up and discussion
