BehavRec@RecSys

Publications

2023

Preface: Opportunities and Issues of Persuasive Recommender Systems. BehavRec@RecSys (2023)
Diana Nurbakova, Felix Bölz, Audrey Serna, Jean Brignone
Towards Adaptive and Personalised Recommendation for Healthy Food Promotion. BehavRec@RecSys (2023)
Junhyung Kim, Kijun Kwon, Jinho Kim
Contextual Bandits for Hyper-Personalization based on User Behavior in Local Domain. BehavRec@RecSys (2023)
Shoya Yoshida, O. Nganba Meetei
FitNExT: Leveraging Transformers with Context-Augmented Start Tokens to Generate Recommendations for New Users in Connected Fitness at Peloton. BehavRec@RecSys (2023)
Pooria Babaei, Julita Vassileva
Using Persuasive Strategies Inside App Distribution Platforms to Warn Users About Manipulative Design Used by Applications. BehavRec@RecSys (2023)
Sabrina Villata, Amon Rapp, Federica Cena
Towards an Adaptive Behavior Change Game Based on User-tailored and Context-aware Interventions. BehavRec@RecSys (2023)
Khadiga M. A. Seddik, Erik Knudsen, Damian Trilling, Christoph Trattner
Understanding How News Recommender Systems Influence Selective Exposure. BehavRec@RecSys (2023)

volume 3544, 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. BehavRec@RecSys 3544 (2023)