A library recommender system based on a personal ontology model and collaborative filtering technique for English collections

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.

Citation

Liao, I., Hsu, W., Cheng, M. and Chen, L. (2010), "A library recommender system based on a personal ontology model and collaborative filtering technique for English collections", The Electronic Library, Vol. 28 No. 3, pp. 386-400. https://doi.org/10.1108/02640471011051972