Cross-Domain Recommender Systems-Reference-Cited by-同舟云学术

Cross-Domain Recommender Systems

Published:2015 Issue: Volume: Page:919-959
ISSN:
Container-title:Recommender Systems Handbook
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Author:

Cantador Iván,Fernández-Tobías Ignacio,Berkovsky Shlomo,Cremonesi Paolo

Publisher

Springer US

Link

http://link.springer.com/content/pdf/10.1007/978-1-4899-7637-6_27

Reference70 articles.

1. Abel, F., Araújo, S., Gao, Q., Houben, G.-J.: Analyzing Cross-system User Modeling on the Social Web. 11th International Conference on Web Engineering, pp. 28–43 (2011)

2. Abel, F., Helder, E., Houben, G.-J., Henze, N., Krause, D.: Cross-system User Modeling and Personalization on the Social Web. User Modeling and User-Adapted Interaction 23(2-3), pp. 169–209 (2013)

3. Azak, M.: Crossing: A Framework to Develop Knowledge-based Recommenders in Cross Domains. MSc thesis, Middle East Technical University (2010)

4. Berkovsky, S., Kuflik, T., Ricci, F.: Entertainment Personalization Mechanism through Cross-domain User Modeling. 1st International Conference on Intelligent Technologies for Interactive Entertainment, pp. 215–219 (2005)

5. Berkovsky, S., Goldwasser, D., Kuflik, T., Ricci, F.: Identifying Inter-domain Similarities through Content-based Analysis of Hierarchical Web-Directories. 17th European Conference on Artificial Intelligence, pp. 789–790 (2006)

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