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SYSTEM AND METHOD FOR RANKING SEARCH RESULTS WITHIN CITATION INTENSIVE DOCUMENTS

机译:在引用密集文件中排名搜索结果的系统和方法

摘要

A computerized method is provided for calculating a normalized activity score value to rank an identified document. The method comprises identifying a stored document; determining a number of times the identified document was cited in a subject matter community of the identified document; determining a probability distribution that individual documents within the subject matter community are cited a variable number of times by other individual documents in the subject matter community; calculating a probability function by performing a regression on the probability distribution; calculating the activity score value according to an activity score function formulated as an inverse of the probability function; weighting the activity score value by an age of the identified document; and storing in computer memory a ranking of the identified document based on the activity score value.
机译:提供了一种用于计算归一化活动分数值的计算机化方法,以对识别的文档进行排名。该方法包括识别存储的文档;确定所识别的文件的许多次数被识别的文件的主题社区中引用;确定主题社区中的各个文档的概率分布被主题社区中的其他单独文件引用了可变次数;通过对概率分布执行回归来计算概率函数;根据制定作为概率函数的倒数的活动得分函数计算活动分数值;将活动分数值加权所识别的文件的年龄;并在计算机存储器中存储基于活动分数值的识别文档的排名。

著录项

  • 公开/公告号EP3392758B1

    专利类型

  • 公开/公告日2021-07-21

    原文格式PDF

  • 申请/专利权人

    申请/专利号EP20180168464

  • 发明设计人 ZHANG LING QIN;SILVER HARRY R;

    申请日2010-03-30

  • 分类号G06F7;G06F16/33;G06F16/2457;G06F16/38;G06F16/93;

  • 国家 EP

  • 入库时间 2022-08-24 20:02:44

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