DocumentCode
123338
Title
The research of recommendation system based on Hadoop cloud platform
Author
Chunzhi Wang ; Zhou Zheng ; Zhuang Yang
Author_Institution
Sch. of Comput. Sci., Hubei Univ. of Technol., Wuhan, China
fYear
2014
fDate
22-24 Aug. 2014
Firstpage
193
Lastpage
196
Abstract
This paper integrates hadoop with recommendation system. Recommendation system is a system which makes predictions of user preferences. In this paper, we introduces a improved hybrid recommended algorithm and combine MapReduce programming which is used on Hadoop plaform. Through practice, the improved algorithm can accurately acquiring user preferences, provide the user with recommendation when the user browses the web page. Finally, Hadoop can meet the demand of massive data processing, and achieve a highly performance system by making use of the data reprocessing method.
Keywords
cloud computing; data handling; recommender systems; Hadoop cloud platform; MapReduce programming; Web page; data reprocessing method; hybrid recommended algorithm; massive data processing; recommendation system; user preference predictions; Algorithm design and analysis; Computers; Educational institutions; Face recognition; Cloud computing; Hadoop; Hybrid algorithm; Recommended algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science & Education (ICCSE), 2014 9th International Conference on
Conference_Location
Vancouver, BC
Print_ISBN
978-1-4799-2949-8
Type
conf
DOI
10.1109/ICCSE.2014.6926453
Filename
6926453
Link To Document