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http://dx.doi.org/10.3745/KIPSTD.2006.13D.5.661

The Construction of Multiform User Profiles Based on Transaction for Effective Recommendation and Segmentation  

Koh, Jae-Jin (울산대학교 컴퓨터정보통신공학부)
An, Hyoung-Keun (㈜CFIC 기업부설연구소)
Abstract
With the development of e-Commerce and the proliferation of easily accessible information, information filtering systems such as recommender and SDI systems have become popular to prune large information spaces so that users are directed toward those items that best meet their needs and preferences. Until now, many information filtering methods have been proposed to support filtering systems. XML is emerging as a new standard for information. Recently, filtering systems need new approaches in dealing with XML documents. So, in this paper our system suggests a method to create multiform user profiles with XML's ability to represent structure. This system consists of two parts; one is an administrator profile definition part that an administrator defines to analyze users purchase pattern before a transaction such as purchase happens directly. an other is a user profile creation part module which is applied by the defined profile. Administrator profiles are made from DTD information and it is supposed to point the specific part of a document conforming to the DTD. Proposed system builds user's profile more accurately to get adaptability for user's behavior of buying and provide useful product information without inefficient searching based on such user's profile.
Keywords
Profile; XML Filtering; Recommendation; Segmentation; Multiform User;
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