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The Design and Implementation of the Bibliographic Recommendation System Based on Maximal Frequent Patterns Mining Algorithm

Keywords: 个性化书目推荐了,数据挖掘,频繁模式树,最大频繁模式,频繁模式增长

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On the foundation of the Unicorn system in Nankai University Library, this paper introduces the design and implementation of bibliographic recommendation system based on maximal frequent patterns mining algorithm. It describes the process of analyzing the readers’ behavior patterns by fully utilizing the accumulation data collected in the Unicorn system in details, so as to offer personalized bibliographic recommendation service. By using this system, the academic library can effectively expand different service patterns to readers on available sources, and improve the efficiency of the existing automated circulation system.


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