Personalized Digital E-library Service Using Users’ Profile Information

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.

Authors and Affiliations

1. Department of Computer Engineering, Chungnam National University, Daejeon, South Korea

   Wonik Park & Young-Kuk Kim

2. College of Electronics and Information, Sejong University, Seoul, South Korea

   Wonil Kim & Hyunjin Lee

3. Department of Computer Science, University of Suwon, Gyeonggi-do, South Korea

   Sanggil Kang

Editors and Affiliations

1. No Affiliations,  

   Julio Gonzalo

2. Istituto di Scienza e Tecnologie dell’Informazione, Consiglio Nazionale delle Richerche, Via Moruzzi, 1, 56124, Pisa, Italy

   Costantino Thanos

3. Dpto. Lenguajes y Sistemas Informáticos, UNED,  

   M. Felisa Verdejo

4. Dep. de Lenguajes y Sistemas Informáticos, Universidad de Alicante, E-03071, Alicante, Spain

   Rafael C. Carrasco

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