| 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|