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
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;
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
DOI :
10.1109/WiCom.2008.2592
