Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/38072
標題: A library recommender system based on a personal ontology model and collaborative filtering technique for English collections
作者: Liao, I.E.
廖宜恩
Hsu, W.C.
Cheng, M.S.
Chen, L.P.
關鍵字: Library systems
Library users
Digital libraries
English literature
Taiwan
期刊/報告no:: Electronic Library, Volume 28, Issue 3, Page(s) 386-400.
摘要: 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 Using University in Taiwan. Originality/value - The paper demonstrates a good methodology to offer an active, effective, and personalized recommendation system for library patrons.
URI: http://hdl.handle.net/11455/38072
ISSN: 0264-0473
文章連結: http://dx.doi.org/10.1108/02640471011051972
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