A Study on Personalization System Using Web Log and Purchasing Database

웹 로그와 구매 DB를 이용한 개인화 시스템에 관한 연구

In this paper, a methodolgy for customizing web pages for indivisual users is suggested. It shows an efficient way to personalize web pages by predicting one's site access pattern. In addition, the prediction can reflect one's tendency after actual purchase. By using the APRIORI algorithm, one of the association rule search methods, the associativity among the purchase items can be inferred. This inferrence is based on the log data in a web server and database about purchase. Finally, a web page which contains the relationship, relative links on other web pages, and inferred items can be generated after this process.