Research Article | OPEN ACCESS
Design and Realization of user Behaviors Recommendation System Based on Association rules under Cloud Environment
1Wei Dai and 2Peng Hu
1School of Economics and Management
2School of Mathematics and Physics, Hubei Polytechnic University, Huangshi 435003, China
Research Journal of Applied Sciences, Engineering and Technology 2013 9:1669-1673
Received: January 19, 2013 | Accepted: March 02, 2013 | Published: July 15, 2013
Abstract
This study introduces the basal principles of association rules, properties and advantages of Map Reduce model and Hbase in Hadoop ecosystem. And giving design steps of the user's actions recommend system in detail, many time experiences proves that the exploration combined association rules theory with cloud computing is successful and effective.
Keywords:
Association rule, cloud computing, mapreduce, hbase,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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