Alleviating the new user problem in collaborative filtering by exploiting personality information-Reference-Cited by-同舟云学术

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Alleviating the new user problem in collaborative filtering by exploiting personality information

Published:2016-02-06 Issue:2-3 Volume:26 Page:221-255
ISSN:0924-1868
Container-title:User Modeling and User-Adapted Interaction
language:en
Short-container-title:User Model User-Adap Inter

Author:

Fernández-Tobías Ignacio,Braunhofer Matthias,Elahi Mehdi,Ricci Francesco,Cantador Iván

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Education

Link

http://link.springer.com/content/pdf/10.1007/s11257-016-9172-z.pdf

Reference75 articles.

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2. Bachrach, Y., Kosinski, M., Graepel, T., Kohli, P., Stillwell, D.: Personality and patterns of facebook usage. In: Proceedings of the 3rd Annual ACM Web Science Conference, pp. 24–32. ACM (2012)

3. Berkovsky, S., Kuflik, T., Ricci, F.: Mediation of user models for enhanced personalization in recommender systems. User Model. User Adapt. Interact. 18(3), 245–286 (2008)

4. Braunhofer, M., Elahi, M., Ge, M., Ricci, F.: Context dependent preference acquisition with personality-based active learning in mobile recommender systems. In: Learning and Collaboration Technologies. Technology-Rich Environments for Learning and Collaboration, pp. 105–116. Springer (2014a)

5. Braunhofer, M., Elahi, M., Ricci, F.: Techniques for cold-starting context-aware mobile recommender systems for tourism. Intell. Artif. 8(2), 129–143 (2014b)

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