How do item features and user characteristics affect users’ perceptions of recommendation serendipity? A cross-domain analysis

Author:

Wang Ningxia,Chen Li

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Education

Reference64 articles.

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2. Adomavicius, G., Kwon, Y.: Improving aggregate recommendation diversity using ranking-based techniques. IEEE Trans. Knowl. Data Eng. 24(5), 896–911 (2012). https://doi.org/10.1109/TKDE.2011.15

3. Akiyama, T., Obara, K., Tanizaki, M.: Proposal and evaluation of serendipitous recommendation method using general unexpectedness. In: Workshop on the Practical Use of Recommender Systems, Algorithms and Technologies (PRSAT 2010), held in conjunction with RecSys 2010 (2010)

4. Alberini, C.M.: Long-term Memories: The Good, the Bad, and the Ugly. In: Cerebrum: the Dana Forum on Brain Science (2010)

5. Berlyne, D.E.: Conflict. McGraw-Hill, Arousal and Curiosity (1960)

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4. Correction to: How do item features and user characteristics affect users’ perceptions of recommendation serendipity? A cross-domain analysis;User Modeling and User-Adapted Interaction;2023-01-17

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