Personalized Digital E-library Service Using Users’ Profile Information

Abstract

We propose a personalized digital E-library system using a collaborative filtering technique, which provides a personalized search list according to users’ preference. The proposed system analyzes the registered users’ actions such as “clicking” and “borrowing” items. According to the different actions, we provide a weight for calculating the users’ preference of each item. However, the list is uniformly provided to the individual users when they search with same keywords. In order to avoid the problem, we customize the order of items in the list according to whether there is any mismatching of profiles among registered users and target users or not.

This research was supported by the Ministry of Information and Communication, Korea, under the College Information Technology Research Center Support Program, grant number IITA-2005-C1090-0502-0016.