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Rule-based query personalization in digital libraries

机译:数字图书馆中基于规则的查询个性化

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摘要

Searching a digital library is typically a tedious task. A system can improve information access by building on knowledge about a user acquired in a user profile in order to customize information access both in terms of the information returned in response to a query (query personalization) as well as in terms of the presentation of the results (presentation personalization). In this paper, we focus on query personalization in digital libraries; in particular, we address structured queries involving metadata stored in relational databases. We describe the specification of user preferences at the level of a user profile and the process of query personalization with the use of query-rewriting rules.
机译:搜索数字图书馆通常是一项繁琐的任务。系统可以通过基于在用户配置文件中获取的有关用户的知识来改进信息访问,以便根据响应查询(查询个性化)返回的信息以及用户的表示形式自定义信息访问。结果(演示个性化)。在本文中,我们专注于数字图书馆中的查询个性化。特别是,我们处理涉及存储在关系数据库中的元数据的结构化查询。我们在用户配置文件级别描述用户首选项的规范,以及使用查询重写规则来进行查询个性化的过程。

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