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System and method for information retrieval by using keywords associated with a given set of data elements and the frequency of each keyword as determined by the number of data elements attached to each keyword

机译:通过使用与给定的一组数据元素相关联的关键字以及每个关键字的出现频率进行信息检索的系统和方法,每个关键字的频率由附加到每个关键字的数据元素的数量确定

摘要

The system and method of this invention provides an approach for automatically indicating what property a current set of documents possesses, and an approach for retrieving a set of similar documents by specifying a document rather than a keyword. First, in a set of keywords attached to the set of documents narrowed in response to user retrieval processing, a system according to the present invention counts the number of documents to which each of the keywords is attached to and displays the keywords in order of decreasing frequency. Next, a user specifies the document(s) of interest among the set of documents. In response to this, out of the keywords attached to the documents specified by the user, a keyword is able to retrieve any documents other than the one(s) specified. From the set of keywords attached to the current set of document narrowed, this is determined by omitting the keywords meeting the following conditions: (1) the keyword is not attached to any documents other than the specified one; and (2) the keyword is attached to all the documents in the current set of documents. An automatic retrieval with this keyword will enable narrowing by document rather by the keyword.
机译:本发明的系统和方法提供了一种用于自动指示当前文档集合具有什么属性的方法,以及一种通过指定文档而不是关键字来检索一组相似文档的方法。首先,在响应于用户检索处理而缩窄的文档集合中所附加的关键词集合中,根据本发明的系统对每个关键词所附加到的文档数目进行计数并以降序显示关键词。频率。接下来,用户在文档集合中指定感兴趣的文档。响应于此,在用户指定的文档所附的关键字中,关键字能够检索除指定的文档以外的任何文档。从附加到当前缩窄文档集的关键字集中,可以通过省略满足以下条件的关键字来确定:(1)除指定文档外,该关键字未附加到任何其他文档; (2)将关键字附加到当前文档集中的所有文档。使用此关键字的自动检索将能够按文档而不是关键字缩小范围。

著录项

  • 公开/公告号US5787421A

    专利类型

  • 公开/公告日1998-07-28

    原文格式PDF

  • 申请/专利权人 INTERNATIONAL BUSINESS MACHINES CORPORATION;

    申请/专利号US19960584826

  • 发明设计人 HIROSHI NOMIYAMA;

    申请日1996-01-11

  • 分类号G06F17/30;

  • 国家 US

  • 入库时间 2022-08-22 02:38:58

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