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

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 col...

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Bibliographic Details
Published in:Electronic library 2010-01, Vol.28 (3), p.386-400
Main Authors: Liao, I-En, Hsu, Wen-Chiao, Cheng, Ming-Shen, Chen, Li-Ping
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Collection
Computer programs
Computer science
Data mining
Design engineering
Digital libraries
Electronic Libraries
English literature
Exact sciences and technology
Filtering
Filtration
Information and communication sciences
Information retrieval
Information science. Documentation
Information service management
Information storage and retrieval systems
Information system management
Libraries
Library systems
Library users
Linguistics
Literature Reviews
Methodology
Methods
Personalized
Reference services (Libraries)
Sciences and techniques of general use
Specialization
Specifications
Studies
Taiwan
Websites
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Description
Summary: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.
ISSN:0264-0473
1758-616X
DOI:10.1108/02640471011051972