Exploring the longitudinal effects of nudging on users’ music genre exploration behavior and listening preferences

Author:

Liang Yu1,Willemsen Martijn C.2

Affiliation:

1. Jheronimus Academy of Data Science, Netherlands

2. Human-Technology Interaction, Eindhoven University of Technology, Netherlands and Jheronimus Academy of Data Science, Netherlands

Publisher

ACM

Reference23 articles.

1. Svetlin Bostandjiev , John O’Donovan , and Tobias Höllerer . 2012 . TasteWeights. In Proceedings of the sixth ACM conference on Recommender systems - RecSys ’12 . ACM Press, New York, New York, USA, 35. https://doi.org/10.1145/2365952.2365964 Svetlin Bostandjiev, John O’Donovan, and Tobias Höllerer. 2012. TasteWeights. In Proceedings of the sixth ACM conference on Recommender systems - RecSys ’12. ACM Press, New York, New York, USA, 35. https://doi.org/10.1145/2365952.2365964

2. Wanling Cai , Yucheng Jin , and Li Chen . 2021. Critiquing for Music Exploration in Conversational Recommender Systems . Association for Computing Machinery , New York, NY, USA , 480–490. https://doi.org/10.1145/3397481.3450657 Wanling Cai, Yucheng Jin, and Li Chen. 2021. Critiquing for Music Exploration in Conversational Recommender Systems. Association for Computing Machinery, New York, NY, USA, 480–490. https://doi.org/10.1145/3397481.3450657

3. 23 Ways to Nudge

4. Adolescents’ music preferences and personality characteristics;Delsing Marc J.;European Journal of Personality,2008

5. Topic-sensitive pagerank: A context-sensitive ranking algorithm for web search

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