| Vol-1884 urn:nbn:de:0074-1884-8 Copyright © 2017 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

# IntRS 2017
Interfaces and Human Decision Making for Recommender Systems

### Proceedings of the 4th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems
co-located with ACM Conference on Recommender Systems (RecSys 2017)

### Como, Italy, August 27, 2017.

Edited by

### Peter Brusilovsky (1)
Marco de Gemmis (2)
Alexander Felfernig (3)
Pasquale Lops (2)
John O'Donovan (4)
Nava Tintarev (5)
Martijn C. Willemsen (6)

(1) School of Information Sciences, University of Pittsburgh, USA
(2) Department of Computer Science, University of Bari Aldo Moro, Italy
(3) Institute for Software Technology, Graz University of Technology, Austria
(4) Dept. of Computer Science, University of California, Santa Barbara
(5) Faculty of Electrical Eng., Mathematics and Computer Science, TU Delft, The Netherlands
(6) Eindhoven University of Technology, The Netherlands

## Table of Contents

- Preface

### Invited Talk

- Interacting with Recommenders 1
  Dietmar Jannach

### Interaction Mechanisms

- Enhancing an Interactive Recommendation System with Review-based Information Filtering 2-9
  Jan Feuerbach, Benedikt Loepp, Catalin-Mihai Barbu, Jürgen Ziegler
- Enhancing Recommendation Diversity Through a Dual Recommendation Interface 10-15
  Chun-Hua Tsai, Peter Brusilovsky

### Visualization

- IntersectionExplorer: the Flexibility of Multiple Perspectives 16-19
  Bruno Cardoso, Peter Brusilovsky, Katrien Verbert
- User Model Dimensions for Personalizing the Presentation of Recommendations 20-23
  Catalin-Mihai Barbu, Jürgen Ziegler

### Preference Elicitation

- Rating by Ranking: An Improved Scale for Judgement-Based Labels 24-29
  Jack O'Neill, Sarah Jane Delany, Brian Mac Namee
- Learning Binary Preference Relations: A Comparison of Logic-based and Statistical Approaches 30-34
  Nunung Nurul Qomariyah, Dimitar Kazakov

### Cognitive Factors

- How Do Different Levels of User Control Affect Cognitive Load and Acceptance of Recommendations? 35-42
  Yucheng Jin, Bruno Cardoso, Katrien Verbert
- Guided Exploration of the Domain Space of Study Programs - Recommenders in Improving Student Awareness on the Choices Made during Enrollment 43-47
  Vangel V. Ajanovski

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2017-08-02: submitted by Marco de Gemmis, metadata incl. bibliographic data published under Creative Commons CC0
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