Can Concept-Based User Modeling Improve Adaptive Visualization?-Reference-Cited by-同舟云学术

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Can Concept-Based User Modeling Improve Adaptive Visualization?

Published:2010 Issue: Volume: Page:4-15
ISSN:0302-9743
Container-title:User Modeling, Adaptation, and Personalization
language:
Short-container-title:

Author:

Ahn Jae-wook,Brusilovsky Peter

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-13470-8_3

Reference21 articles.

1. Ahn, J., Brusilovsky, P.: Adaptive visualization of search results: Bringing user models to visual analytics. Information Visualization 8(3), 167–179 (2009)

2. Ahn, J., Brusilovsky, P., Grady, J., He, D., Florian, R.: Semantic annotation based exploratory search for information analysts. In: Information Processing and Management (in press, 2010)

3. Ahn, J., Brusilovsky, P., He, D., Grady, J., Li, Q.: Personalized web exploration with task models. In: Huai, J., Chen, R., Hon, H.W., Liu, Y., Ma, W.Y., Tomkins, A., Zhang, X. (eds.) Proceedings of the 17th International Conference on World Wide Web, WWW 2008, Beijing, China, April 21-25, pp. 1–10. ACM, New York (2008)

4. Lecture Notes in Computer Science;E.A. Bier,2006

5. Chen, C.C., Chen, M.C., Sun, Y.: Pva: a self-adaptive personal view agent system. In: KDD ’01: Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 257–262. ACM Press, New York (2001)

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