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Personalized Services for Digital Library

机译:数字图书馆的个性化服务

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摘要

In this paper, we describe a prototype system, called PASS (Personalized Active Service System), which provides personalized services for digital libraries. User profiles are represented as probabilistic distributions of interests over different domains. The system realizes content-based filtering by computing the similarity of probabilistic distributions between documents and user profiles. In addition the system realizes collaborative filtering by clustering similar user profiles. Experimental results show its performance satisfactory.
机译:在本文中,我们描述了一个原型系统,称为PASS(个性化主动服务系统),该系统为数字图书馆提供个性化服务。用户配置文件表示为不同域上兴趣的概率分布。该系统通过计算文档和用户配置文件之间的概率分布的相似性来实现基于内容的过滤。另外,该系统通过对相似的用户配置文件进行聚类来实现协作过滤。实验结果表明其性能令人满意。

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