Vol-3222
urn:nbn:de:0074-3222-6

Copyright © 2022 for the individual papers by the papers' authors. Copyright © 2022 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

IntRS 2022
Interfaces and Human Decision Making for Recommender Systems 2022

Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems
co-located with 16th ACM Conference on Recommender Systems (RecSys 2022)

Hybrid Event, Seattle, US, September 22, 2022.

Edited by

Peter Brusilovsky *
Marco de Gemmis
Alexander Felfernig *
Pasquale Lops
Marco Polignano
Giovanni Semeraro
Martijn C. Willemsen **

* University of Pittsburgh, School of Information Sciences, Pittsburgh, USA
** University of Bari Aldo Moro, Department of Computer Science, Bari, Italy
*** Graz University of Technology, Institute for Software Technology, Graz, Austria
**** Eindhoven University of Technology, Department of Industrial Engineering and Innovation Sciences, Eindhoven, The Netherlands

Table of Contents

Preface
Summary: There were 12 papers submitted for peer-review to this workshop. Out of these, 10 papers were accepted for this volume, all of them as long papers.

Invited Talk

From User Control and Explainability in Recommendation Interfaces to Visual XAI 1-2
Denis Parra

Cognitive Factors

Examining Choice Overload across Single-list and Multi-list User Interfaces 3-17
Alain Starke, Justyna Sedkowska, Mihir Chouhan, Bruce Ferwerda
Psychological User Characteristics and Meta-Intents in a Conversational Product Advisor 18-32
Yuan Ma, Timm Kleemann, Jürgen Ziegler
The Impacts of Primacy/Recency Effects on Item Review Sentiment Analysis 33-45
Besnik Gjergjizi, Thi Ngoc Trang Tran, Alexander Felfernig
Serendipity in Recommender Systems Beyond the Algorithm: a Feature Repository and Experimental Design 46-66
Annelien Smets, Lien Michiels, Toine Bogers, Lennart Björneborn

Preference Elicitation and Explanations

Boosting Health? Examining the Role of Nutrition Labels and Preference Elicitation Methods in Food Recommendation 67-84
Alain Starke, Ayoub El Majjodi, Christoph Trattner
Explainable Robo-Advisors: Empirical Investigations to Specify and Evaluate a User-Centric Taxonomy of Explanations in the Financial Domain 85-103
Sidra Naveed, Gunnar Stevens, Dean-Robin Kern
What if Interactive Explanation in a Scientific Literature Recommender System 104-121
Mouadh Guesmi, Mohamed Amine Chatti, Jaleh Ghorbani-Bavani, Shoeb Joarder, Qurat Ul Ain, Rawaa Alatrash

Interactive Recommendations

Simulation-Based Evaluation of Interactive Recommender Systems 122-136
Behnam Rahdari, Peter Brusilovsky
A Cosmetic Differences Visualization System for Beauty Recommendation using the Scores of Various Evaluation Items 137-150
Mayumi Ueda, Sayaka Yabe, Da Li, Shinsuke Nakajima
Decoy Effect of Recommendation Systems on Real E-commerce Websites 151-163
Fan Mo, Tsuneo Matsumoto, Nao Fukushima, Fuyuko Kido, Hayato Yamana

2022-09-18: submitted by Marco de Gemmis, metadata incl. bibliographic data published under Creative Commons CC0
2022-09-26: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|