A Review of Recommender System and Related Dimensions-Reference-Cited by-同舟云学术

A Review of Recommender System and Related Dimensions

Published:2019 Issue: Volume: Page:3-10
ISSN:
Container-title:Data, Engineering and Applications
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Author:

Anwar Taushif,Uma V.

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-6347-4_1

Reference19 articles.

1. Konstan, J.A., Riedl, J.: Recommender systems from algorithms to user experience. User Model User-Adapt Interact 22, 101–123. Springer Science + Business Media (2012)

2. Joaquin, D., Naohiro, I.: Memory-based weighted-majority prediction for recommender systems. In: 1999 SIGIR Workshop on Recommender Systems, pp. 1–5. University of California, Berkeley (1999)

3. Hofmann, T.: Latent semantic models for collaborative filtering. ACM Trans. Inf. Syst. 22, 89–115 (2004)

4. Huang, C.L., Huang, W.L.: Handling sequential pattern decay: developing a two-stage collaborative recommender system. Electron. Commer. Res. Appl. 8, 117–129 (2009)

5. Miller, B.N., Albert, I., Lam, S.K., Konstan, J.A., Riedl, J.: MovieLens unplugged: experiences with an occasionally connected recommender system. In: Proceedings of the 8th International Conference on Intelligent User Interfaces, Miami, Florida, USA (2003)

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