| Vol-2225 urn:nbn:de:0074-2225-4 Copyright © 2018 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 2018
5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems

### Proceedings of the 5th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems
co-located with ACM Conference on Recommender Systems (RecSys 2018)

### Vancouver, Canada, October 7, 2018.

Edited by

### Peter Brusilovsky (1)
Marco de Gemmis (2)
Alexander Felfernig (3)
Pasquale Lops (2)
John O’Donovan (4)
Giovanni Semeraro (2)
Martijn C. Willemsen (5)

(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) Eindhoven University of Technology, The Netherlands

## Table of Contents

- Preface

### Invited Talk

- Mixed-initiative Recommender Systems: Towards a Next Generation of Recommender Systems through User Involvement 1
  Katrien Verbert

### Affective Factors

- Affective Computing and Bandits: Capturing Context in Cold Start Situations 2-6
  Sebastian Oehme, Linus W. Dietz

### Novelty and Diversity

- A Diversity Adjusting Strategy with Personality for Music Recommendation 7-14
  Feng Lu, Nava Tintarev
- Risk "Attention" or "Adventure": A Qualitative Study of Novelty and Familiarity in Music Listening 15-23
  Vikas Kumar, Sabirat Rubya, Joseph A. Konstan, Loren Terveen
- MovieTweeters: An Interactive Interface to Improve Recommendation Novelty 24-31
  Ishan Ghanmode, Nava Tintarev

### Decision Making and Visualization

- Analysis of User Behavior in Interfaces with Recommended Items: An Eye-tracking Study 32-36
  Peter Gaspar, Michal Kompan, Jakub Simko, Maria Bielikova
- From Recommendation to Curation: When the System Becomes your Personal Docent 37-44
  Nevena Dragovic, Ion Madrazo Azpiazu, Maria Soledad Pera
- Online Daters’ Willingness to Use Recommender Technology for Mate Selection Decisions 45-52
  Stephanie Tom Tong, Elena F. Corriero, Robert G. Matheny, Jeffrey T. Hancock
- Using Visualizations to Encourage Blind-Spot Exploration 53-60
  Jayachithra Kumar, Nava Tintarev

### Transparency and Explanations

- Assessing the Value of Transparency in Recommender Systems: An End-User Perspective 61-68
  Eric S. Vorm, Andrew D. Miller
- Towards Explanations for Visual Recommender Systems of Artistic Images 69-73
  Vicente Dominguez, Pablo Messina, Christoph Trattner, Denis Parra
- Understanding how to Explain Package Recommendations in the Clothes Domain 74-78
  Agung Toto Wibowo, Advaith Siddharthan, Judith Masthoff, Chenghua Lin

2018-09-28: submitted by Marco de Gemmis, metadata incl. bibliographic data published under Creative Commons CC0
2018-09-28: published on CEUR-WS.org |valid HTML5|