DocumentCode
479016
Title
An Association Rules and Sequential Rules Based Recommendation System
Author
Liao, Shu ; Zou, Tengyue ; Chang, Huiyou
Author_Institution
Dept. of Comput. Sci., Sun Yat-sen Univ., Guangzhou
fYear
2008
fDate
12-14 Oct. 2008
Firstpage
1
Lastpage
4
Abstract
Nowadays, more and more researches focus on how to provide products for customers based on their interests. Recommendation system in electronic is one of the applications that are based on such mechanism.We designed and implemented an electronic commerce recommendation system used both association rules and sequential rules which is called ASRS(Association rules and Sequential rules based Recommendation System).Compared with conventional methods, more useful results can be found for using the ASRS.
Keywords
data mining; electronic commerce; association rules; electronic commerce recommendation system; recommendation system; sequential rules; Association rules; Automatic speech recognition; Bayesian methods; Collaboration; Computer science; Data mining; Electronic commerce; History; Sun; Transaction databases;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-2107-7
Electronic_ISBN
978-1-4244-2108-4
Type
conf
DOI
10.1109/WiCom.2008.2592
Filename
4680781
Link To Document