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Publication search results
found 8 matches
- 2023
- Pooria Babaei, Julita Vassileva:
Using Persuasive Strategies Inside App Distribution Platforms to Warn Users About Manipulative Design Used by Applications. BehavRec@RecSys 2023 - Junhyung Kim, Kijun Kwon, Jinho Kim:
Contextual Bandits for Hyper-Personalization based on User Behavior in Local Domain. BehavRec@RecSys 2023 - Diana Nurbakova, Felix Bölz, Audrey Serna, Jean Brignone:
Towards Adaptive and Personalised Recommendation for Healthy Food Promotion. BehavRec@RecSys 2023 - Khadiga M. A. Seddik, Erik Knudsen, Damian Trilling, Christoph Trattner:
Understanding How News Recommender Systems Influence Selective Exposure. 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 - Preface: Opportunities and Issues of Persuasive Recommender Systems. 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 - Amon Rapp, Christoph Trattner, Julita Vassileva, Federica Cena, Rita Orji, Alain Starke:
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. CEUR Workshop Proceedings 3544, CEUR-WS.org 2023 [contents]
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