A collaborative filtering recommendation algorithm based on the influence sets of e-learning group’s behavior-Reference-Cited by-同舟云学术

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A collaborative filtering recommendation algorithm based on the influence sets of e-learning group’s behavior

Published:2017-12-29 Issue:S2 Volume:22 Page:2823-2833
ISSN:1386-7857
Container-title:Cluster Computing
language:en
Short-container-title:Cluster Comput

Author:

Liu Xiuju

Funder

Shandong Province Education and Science Planned Research Topics during the “12th Five-Year Plan”–Higher Education, Special Computer Teaching Project

A Project of Shandong Province Higher Educational Science and Technology Program

Project of Shandong Province Higher Educational Science and Technology Program

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Software

Link

http://link.springer.com/content/pdf/10.1007/s10586-017-1560-6.pdf

Reference31 articles.

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2. Su, X., Khoshgoftaar, T.M.: Asurvey of collaborative filtering techniques. Adv. Artif. Intell. 2009, 19 (2009)

3. Melville, P., Sindhwani, V.: Recommender systems. Encycl. Mach. Learn (2010). http://doi.org/10.1007/978-0-387-30164-8_705

4. Porcel, C., Herrera-Viedma, E.: Dealing with incomplete information in a fuzzylinguistic recommender system to disseminate information in university digital libraries. Knowl. Based Syst. 23(1), 32–39 (2010)

5. Ding, L., Steil, D., Dixon, B., et al.: A relation context oriented approach to identify strong ties in social networks. Knowl. Based Syst. 24(8), 1187–1195 (2011)

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