Explorative Analysis of Recommendations Through Interactive Visualization-Reference-Cited by-同舟云学术

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Explorative Analysis of Recommendations Through Interactive Visualization

Published:2017 Issue: Volume: Page:46-57
ISSN:1865-1348
Container-title:Lecture Notes in Business Information Processing
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Author:

Richthammer Christian,Pernul Günther

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-53676-7_4

Reference40 articles.

1. Hill, W., Stead, L., Rosenstein, M., Furnas, G.: Recommending and evaluating choices in a virtual community of use. In: Proceedings of the 13th SIGCHI Conference on Human Factors in Computing Systems (CHI), pp. 194–201 (1995)

2. Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., Riedl, J.: GroupLens: an open architecture for collaborative filtering of netnews. In: Proceedings of the 1994 ACM Conference on Computer Supported Cooperative Work (CSCW), pp. 175–186 (1994)

3. Resnick, P., Varian, H.R.: Recommender systems. Commun. ACM 40(3), 56–58 (1997)

4. Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 17(6), 734–749 (2005)

5. Konstan, J.A., Riedl, J.: Recommender systems: from algorithms to user experience. User Model. User Adapt. Interact. 22(1–2), 101–123 (2012)

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5. Interactive Visualization of Recommender Systems Data;Proceedings of the 4th Workshop on Security in Highly Connected IT Systems - SHCIS '17;2017

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