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Concept indexing among database of documents using machine learning techniques

机译:使用机器学习技术在文档数据库中进行概念索引

摘要

Systems and techniques for indexing and/or querying a database are described herein. Discrete sections and/or segments from documents may be determined by a concept indexing system. The segments may be indexed by concept and/or higher-level category of interest to a user. A user may query the segments by one or more concepts. The segments may be analyzed to rank the segments by statistical accuracy and/or relatedness to one or more particular concepts. The rankings may be used for presentation of search results in a user interface. Furthermore, segments and/or documents may be ranked based on recency decay functions that distinguish between segments that maintain their relevance over time in contrast with temporal segments whose relevance decays quicker over time, for example.
机译:本文描述了用于索引和/或查询数据库的系统和技术。来自文档的离散部分和/或片段可以由概念索引系统确定。可以通过用户感兴趣的概念和/或更高级别的类别来对片段进行索引。用户可以通过一个或多个概念来查询分段。可通过与一个或多个特定概念的统计准确性和/或相关性来分析分段以对分段进行排名。该排名可以用于在用户界面中呈现搜索结果。此外,片段和/或文档可以基于新近度衰变函数来排序,所述新近度衰变函数与在时间上保持其关联性随时间而衰落的时间片段相比,区分在时间上保持其关联性的片段。

著录项

  • 公开/公告号US9898528B2

    专利类型

  • 公开/公告日2018-02-20

    原文格式PDF

  • 申请/专利权人 PALANTIR TECHNOLOGIES INC.;

    申请/专利号US201615159622

  • 发明设计人 MAX KESIN;

    申请日2016-05-19

  • 分类号G06F17/30;G06N99;

  • 国家 US

  • 入库时间 2022-08-21 12:56:31

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