Vol-3544
urn:nbn:de:0074-3544-0

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).

BehavRec 2023
Behavior Change and Persuasive Recommender Systems 2023

Proceedings of the International Workshop on Behavior Change and Persuasive Recommender Systems
co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023)

Singapore, September 19, 2023.

Edited by

Amon Rapp *
Christoph Trattner
Julita Vassileva *
Federica Cena *
Rita Orji
Alain Starke *

* University of Torino, Italy
** University of Bergen, Norway
*** University of Saskatchewan, Canada
**** Dalhousie University, Canada
***** University of Amsterdam, Netherlands

Table of Contents

Preface: Opportunities and Issues of Persuasive Recommender Systems
Amon Rapp, Christoph Trattner, Julita Vassileva, Federica Cena, Rita Orji, Alain Starke
Towards an Adaptive Behavior Change Game Based on User-tailored and Context-aware Interventions
Sabrina Villata, Amon Rapp, Federica Cena
FitNExT: Leveraging Transformers with Context-Augmented Start Tokens to Generate Recommendations for New Users in Connected Fitness at Peloton
Shoya Yoshida, O. Nganba Meetei,
Contextual Bandits for Hyper-Personalization based on User Behavior in Local Domain
Junhyung Kim, Kijun Kwon, Jinho Kim
Towards Adaptive and Personalised Recommendation for Healthy Food Promotion
Diana Nurbakova, Felix Bölz, Audrey Serna, Jean Brignone
Understanding How News Recommender Systems Influence Selective Exposure
Khadiga M. A. Seddik, Erik Knudsen, Damian Trilling, Christoph Trattner
Using Persuasive Strategies Inside App Distribution Platforms to Warn Users About Manipulative Design Used by Applications
Pooria Babaei, Julita Vassileva

2023-25-10: submitted by Amon Rapp, metadata incl. bibliographic data published under Creative Commons CC0
2023-11-10: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|