Comparing context-aware recommender systems in terms of accuracy and diversity-Reference-Cited by-同舟云学术

Comparing context-aware recommender systems in terms of accuracy and diversity

Published:2012-12-27 Issue:1-2 Volume:24 Page:35-65
ISSN:0924-1868
Container-title:User Modeling and User-Adapted Interaction
language:en
Short-container-title:User Model User-Adap Inter

Author:

Panniello Umberto,Tuzhilin Alexander,Gorgoglione Michele

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Human-Computer Interaction,Education

Link

http://link.springer.com/content/pdf/10.1007/s11257-012-9135-y.pdf

Reference49 articles.

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3. Adomavicius, G., Tuzhilin, A.: Context-aware recommender systems’. ACM RecSys Tutorial, pp. 335–336 (2008)

4. Adomavicius, G., Kwon, Y.: Toward more diverse recommendations: Item re-ranking methods for recommender systems. 19th Workshop on information technologies and systems (WITS), Phoenix

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

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