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
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