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ActiveSearch: an agent for suggesting similar documents based on user's preferences

机译:ActiveSearch:一种用于根据用户的偏好建议相似文档的代理

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This paper presents the ActiveSearch Agent, a proactive agent for suggesting similar documents to the one being browsed/edited by the user. It was designed to provide access to different documents bases in the Internet (through meta-searches to available search engines), in Intranets and in local directories, as well as to process different documents' formats (e.g., HTML, DOC, PS). The retrieval process is on-line, and it is based on the document's content and on the user's preferences. The algorithm used to measure similarity between documents is based on Vector Space model. The prototype runs in Windows OS. Preliminary tests demonstrated a very good system's performance with a superiority of 34 percentile points in the precision in relation to the GoogleToolbar.
机译:本文介绍了ActiveSearch Agent,它是一种主动代理,用于建议与用户正在浏览/编辑的文档相似的文档。它旨在提供对Internet中不同文档库的访问(通过对可用搜索引擎的元搜索),内联网和本地目录,以及处理不同文档的格式(例如HTML,DOC,PS)。检索过程是在线的,它基于文档的内容和用户的偏好。用于度量文档之间相似度的算法基于向量空间模型。该原型在Windows OS中运行。初步测试表明,该系统的性能非常好,相对于GoogleToolbar,其精度高出34个百分点。

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