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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 380472, 13 pages
Research Article

Improving Top-N Recommendation Performance Using Missing Data

1Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China
2School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China

Received 23 April 2015; Accepted 26 August 2015

Academic Editor: Jean-Charles Beugnot

Copyright © 2015 Xiangyu Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Xiangyu Zhao, Zhendong Niu, Kaiyi Wang, Ke Niu, and Zhongqiang Liu, “Improving Top-N Recommendation Performance Using Missing Data,” Mathematical Problems in Engineering, vol. 2015, Article ID 380472, 13 pages, 2015. doi:10.1155/2015/380472