多搜索自定义分类构建个人数字图书馆

Ching-Chi Hsu, Fan-Chen Tseng, Jiming Chen, Chui-Hung Chang
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引用次数: 1

摘要

当前用于在WWW上检索信息的搜索工具不适合构建定制的信息存储库,因为这些搜索工具是为一般用户设计的,其结果只是一个非结构化的文档集合。我们提出了一个个人数字图书馆,能够有效地检索万维网上的信息。我们采用了几种新策略来克服现有工具的缺点。第一个策略,分类,合并和组织检索到的文档,把它们放在一个结构层次框架中。第二种策略是用户配置文件,它节省了访问文档的时间和带宽,并允许用户构建自己的定制类别结构。第三种策略,多搜索,利用多个搜索引擎的力量来扩大信息源的领域,减轻单个搜索引擎的过载。此外,我们还详细推导了加速聚类迭代过程的技术。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Constructing personal digital library by multi-search and customized category
The current search tools for retrieving information on the WWW are not suitable for building customized information repositories because these search tools are designed for general users with the result of only an unstructured collection of documents. We present a personal digital library capable of efficiently retrieving information on the World Wide Web. We adopt several new strategies to overcome the shortcomings of current tools. The first strategy, classification, merges and organizes the retrieved documents to put them in a structural hierarchical frame. The second strategy, user profile, saves time and bandwidth for the access of the documents and permits the users to build their own customized category structure. The third strategy, multi-search, capitalizes on the power of multiple search engines to broaden the domains of information sources and alleviate the overloading of a single search engine. Furthermore we derive in detail the techniques for speeding up the iterative process of clustering.
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