An improved clustering-based collaborative filtering recommendation algorithm-Reference-Cited by-同舟云学术

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An improved clustering-based collaborative filtering recommendation algorithm

Published:2017-03-17 Issue:2 Volume:20 Page:1281-1288
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Xiaojun Liu

Funder

Scientific Research Program of Educational Commission of Hubei Province of China

Scientific Fund Project of Huanggang Normal University

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

http://link.springer.com/article/10.1007/s10586-017-0807-6/fulltext.html

Reference27 articles.

1. Meng, X., Hu, X., Wang, L., et al.: Mobile recommender systems and their applications. J. Softw. 24(1), 91–108 (2013)

2. Xu, H.L., Wu, X., Li, X.D., Yan, B.P.: Comparison study of internet recommendation system. J. Softw. 20(2), 350–362 (2009)

3. Goldberg, D., Nichols, D., Oki, B.M., et al.: Using collaborative filtering to weave an information tapestry. Commun. ACM 35(12), 61–70 (1992)

4. Shardanand, U., Maes, P.: Social information filtering: algorithms of automating“Word of Mouth”. In: Proceedings of the Conference On Human Factors in Computing Systems, pp. 210–217. ACM Press, New York (1995)

5. Hill, W., Stead, L., Rosenstein, M., Furnas, G.: Recommending and evaluating choices in a virtual community of use. In: Proceedings of the Conference On Human Factors in Computing Systems, pp. 194–201. ACM Press, New York (1995)

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