|
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
*
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|