Application Research of Information Recommendation Based on Association Rules in Agricultural Information Net-work
Authors
RuPeng Luan, Qian Zhang, JunFeng Zhang, Feng Yu, Xin Liu
Corresponding Author
RuPeng Luan
Available Online March 2013.
- DOI
- 10.2991/icibet.2013.66How to use a DOI?
- Abstract
In this paper, we used association recom-mendation to achieve page recommen-ded for Beijing 12396 agricultural infor-mation networks, and improved accuracy, algorithm performance and execution efficiency of the recommendation. The contrast experiments proved that these improve-ments optimized the effect of recommen-dation from different aspects. So it can provide users with better agricultural in-formation service.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - RuPeng Luan AU - Qian Zhang AU - JunFeng Zhang AU - Feng Yu AU - Xin Liu PY - 2013/03 DA - 2013/03 TI - Application Research of Information Recommendation Based on Association Rules in Agricultural Information Net-work BT - Proceedings of the 2013 International Conference on Information, Business and Education Technology (ICIBET 2013) PB - Atlantis Press SP - 303 EP - 307 SN - 1951-6851 UR - https://doi.org/10.2991/icibet.2013.66 DO - 10.2991/icibet.2013.66 ID - Luan2013/03 ER -