A library recommender system based on a personal ontology model and collaborative filtering technique for English collections
| Published date | 08 June 2010 |
| Date | 08 June 2010 |
| Pages | 386-400 |
| DOI | https://doi.org/10.1108/02640471011051972 |
| Author | I‐En Liao,Wen‐Chiao Hsu,Ming‐Shen Cheng,Li‐Ping Chen |
| Subject Matter | Information & knowledge management,Library & information science |
A library recommender system
based on a personal ontology
model and collaborative filtering
technique for English collections
I-En Liao and Wen-Chiao Hsu
Department of Computer Science and Engineering,
National Chung-Hsing University, Taichung, Taiwan
Ming-Shen Cheng
Chunghwa Telecom, Taichung, Taiwan, and
Li-Ping Chen
Graduate Institute of Library and Information Science,
National Chung-Hsing University, Taichung, Taiwan
Abstract
Purpose – The purpose of this paper is not only to design a more effective recommendation system
for libraries, but also to eliminate many of the weaknesses found in the existing library recommender
systems.
Design/methodology/approach – A novel library recommender system was designed for English
collections by integrating personal ontology model and collaborative filtering model with domain
specification.
Findings – The trend of the traditional library is evolving toward that of digital library. The
personal ontology recommender (PORE) system offers a friendly user interface and provides several
personalized services.
Research limitations/implications – This system is only implemented and tested in the Library
of National Chung Hsing University in Taiwan.
Originality/value – The paper demonstrates a good methodology to offer an active, effective, and
personalized recommendation system for library patrons.
Keywords Library systems,Library users, Digital libraries,English literature, Taiwan
Paper type Research paper
1. Introduction
Libraries preserve a huge variety of items. Traditionally, libraries play a passive role in
interacting with users for lack of effective searching and recommender tools. With the
progress of digital technology and the development of the Web (Gao et al., 2005),
libraries are evolving toward digital libraries by providing on-line services to meet the
diversified demands of individual patrons and to offer more personalized services.
Liao et al. (2006) have developed a library recommender system called the personal
ontology recommender (PORE) system, which has been implemented in the Library of
National Chung Hsing University for recommending Chinese collections (Chen, 2007;
Liao et al., 2009). The PORE system uses the Classification Scheme for Chinese
The current issue and full text archive of this journal is available at
www.emeraldinsight.com/0264-0473.htm
EL
28,3
386
Received 10 February 2009
Revised 23 June 2009
Accepted 30 June 2009
The Electronic Library
Vol. 28 No. 3, 2010
pp. 386-400
qEmerald Group Publishing Limited
0264-0473
DOI 10.1108/02640471011051972
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