| 基于模糊聚类和模糊模式识别的数字图书馆个性化推荐研究 |
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| 引用本文： | 王敏,嵇绍春.基于模糊聚类和模糊模式识别的数字图书馆个性化推荐研究[J].现代情报,2016,36(4):52-56. |
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| 作者姓名： | 王敏 嵇绍春 |
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| 作者单位： | 1. 淮阴工学院图书馆, 江苏淮安 223003;2. 淮阴工学院数理学院, 江苏淮安 223003 |
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| 基金项目： | 江苏省创新创业训练计划项目"基于模糊决策理论的高校图书馆电子资源绩效评价模型研究"(项目编号:201411049037Y)的部分成果。 |
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| 摘 要： | 为提高图书馆个性化推荐的效果,采用模糊聚类和模糊识别技术建立数字图书馆的个性化推荐系统。通过分析用户的信息素质、兴趣爱好、网络和电子资源检索情况,对读者进行数学模糊聚类分析,确定最佳阈值λ,得到最佳聚类。根据个体用户的基本情况进行模糊识别,由识别结果的归属给出针对当前用户的个性化推荐。实验结果表明,在模糊聚类与模糊识别基础上的个性化推荐方案是可行的和有效的,为创新数字图书馆个性化服务提供了一种新的方法。
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| 关 键 词： | 数字图书馆 个性化 推荐系统 模糊聚类 模糊识别 |
Design of the Digital Library Personalized Recommendation System Based on the Fuzzy Clustering and Fuzzy Pattern Recognition |
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| Authors: | Wang Min Ji Shaochun |
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| Institution: | 1. Library, Huaiyin Institute of Technology, Huaian 223004, China;2. College of Mathematics and Physics, Huaiyin Institute of Technology, Huaian 223004, China |
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| Abstract: | In order to improve the effect of library personalized recommendation, personalized recommendation system of digital library is designed based on fuzzy clustering and fuzzy pattern recognition.The paper analyzed the users' information literacy, discipline background, interests, electronic resources retrieval and history information.Then the readers were classified by using fuzzy clustering.The best threshold λ is determined and the optimal clustering is obtained.According to the basic situation of individual user, the paper used fuzzy pattern recognition to give the personalized recommendation for the current user.From the experiment result, it showed that the proposed approach is feasible and effective, and it provided a new way for the innovation of digital library personalized service. |
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| Keywords: | digital library personalized recommendation system fuzzy clustering fuzzy recognition |
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