| 一种面向高校图书馆的个性化图书推荐系统 |
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| 引用本文： | 王连喜.一种面向高校图书馆的个性化图书推荐系统[J].现代情报,2015,35(12):41-46. |
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| 作者姓名： | 王连喜 |
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| 作者单位： | 广东外语外贸大学图书馆, 广东广州 510420 |
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| 摘 要： | 个性化图书推荐主要是以用户特征和借阅行为为挖掘对象,通过获取用户的兴趣特征及隐含的需求模式,实现用户与图书相互关联的个性化图书推荐服务。本文通过挖掘用户的背景信息构建用户特征模型,然后在设计喜好值计算、用户相似度计算和内容相似度计算以及标签信息获取方法的基础上,研究多种不同的图书推荐方法,以挖掘用户的潜在信息需求。最后利用图书馆的真实数据设计面向高校图书馆的个性化图书推荐系统,同时以标准网络数据集通过实验验证来评估推荐方法的有效性。
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| 关 键 词： | 推荐系统 个性化需求 图书推荐 |
Personalized Books Recommender System for University Library |
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| Authors: | Wang Lianxi |
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| Institution: | Library, Guangdong University of Foreign Studies, Guangzhou 510420, China |
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| Abstract: | Personalized books recommend methods are worked by getting the user's interest features and implicit demand patterns, so as to mining users' borrowing behaviors and achieving the personalized book recommendation service by associating the user and the books.This paper built a profile of the user model with the background information, and then designed the methods of user preference, user similarity and content similarity, as well as the acquisition of label information, to tap the latent user information demand.Finally, a personalized book recommendation system for Univerity library was developed, and the experimental results with the standard network data sets showed that the proposed recommend methods are effective. |
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| Keywords: | recommend system personalized demand books recommender |
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