Vol-3534
urn:nbn:de:0074-3534-7

Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 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 2023
Interfaces and Human Decision Making for Recommender Systems 2023

Proceedings of the 10th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2023)
co-located with 17th ACM Conference on Recommender Systems (RecSys 2023)

Hybrid Event, Singapore, September 18, 2023.

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 8 papers submitted for peer-review to this workshop. Out of these, 6 papers were included in this volume, 3 as regular papers and 3 as short papers.

Regular Papers

The Interplay between Food Knowledge, Nudges, and Preference Elicitation Methods Determines the Evaluation of a Recipe Recommender System 1-18
Ayoub El Majjodi, Alain D. Starke, Mehdi Elahi, Christoph Trattner
Factors Influencing the Perceived Meaningfulness of System Responses in Conversational Recommendation 19-34
Ahtsham Manzoor, Wanling Cai, Dietmar Jannach
Designing and Personalising Hybrid Multi-Modal Health Explanations for Lay Users 35-52
Maxwell Szymanski, Cristina Conati, Vero Vanden Abeele, Katrien Verbert

Short Papers

Using Visual and Linguistic Framing to Support Sustainable Decisions in an Online Store 53-62
Alain D. Starke, Kimia Emami, Andrea Makarová, Bruce Ferwerda
Concentrating on the Impact: Consequence-based Explanations in Recommender Systems 63-73
Sebastian Lubos, Thi Ngoc Trang Tran, Seda Polat Erdeniz, Merfat El Mansi, Alexander Felfernig, Manfred Wundara, Gerhard Leitner
Leveraging Large Language Models for Recommendation and Explanation 74-81
Itallo Silva, Alan Said, Leandro Balby Marinho, Martijn Willemsen

2022-09-14: submitted by Marco de Gemmis, metadata incl. bibliographic data published under Creative Commons CC0
2023-10-31: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|