Pairwise Preferences Elicitation and Exploitation for Conversational Collaborative Filtering-Reference-Cited by-同舟云学术

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Pairwise Preferences Elicitation and Exploitation for Conversational Collaborative Filtering

Published:2015 Issue: Volume: Page:
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Container-title:Proceedings of the 26th ACM Conference on Hypertext & Social Media - HT '15
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Author:

Blédaité Laura,Ricci Francesco

Publisher

ACM Press

Reference23 articles.

1. G. Adomavicius, B. Mobasher, F. Ricci, and A. Tuzhilin. Context-aware recommender systems. AI Magazine, 32(3):67--80, 2011.

2. A. Bellogín, A. Said, and A. P. de Vries. The magic barrier of recommender systems - no magic, just ratings. In User Modeling, Adaptation, and Personalization - 22nd International Conference, UMAP 2014, Aalborg, Denmark, July 7--11, 2014. Proceedings, pages 25--36, 2014.

3. C. Desrosiers and G. Karypis. A comprehensive survey of neighborhood-based recommendation methods. In F. Ricci, L. Rokach, B. Shapira, and P. B. Kantor, editors, Recommender Systems Handbook, pages 107--144. Springer, 2011.

4. M. Elahi, F. Ricci, and N. Rubens. Active learning in collaborative filtering recommender systems. In E-Commerce and Web Technologies - 15th International Conference, EC-Web 2014, Munich, Germany, September 1-4, 2014. Proceedings, pages 113--124, 2014.

5. J. Fürnkranz and E. Hüllermeier. Preference learning and ranking by pairwise comparison. In J. Fürnkranz and E. Hüllermeier, editors, Preference Learning, pages 65--82. Springer Berlin Heidelberg, 2011.

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