Application of Association Rules in E-commerce Recommendation System
ZHANG Jian-kai
QI Jin-ping
Abstract：On the basis of association rules in data mining,the architecture of personalized recommendation system and recommendation system model is deeply researched.However,there are several disadvantages when traditional ARM are applied in personalized recommendation system in mobile e-commerce,such as ,repeat databases scanning with low mining efifciency,mining loads of redundancy rules with low accuracy.Therefore,this paper use the transacition-matrix-&-user-interestingness-based association rule mining algorithm,MIbARM, to bulid a personalized recommendation system model.It is very effective for personalized recommendation problem in mobile E-commerce.
Keywords：Data miningAssociation ruleMobile E-commercePersonalized recommendation
Publication Date：2013-01-01
Online Publishing Date：2026-05-22(First online date of this platform, not the publication date of the document)
Pages：3( 109-111 )