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User customised search engine using machine learning, natural language processing and readability analysis

机译:用户定制的搜索引擎,使用机器学习,自然语言处理和可读性分析

摘要

A computer implemented method, computerised system and computer readable recording medium are disclosed. In one aspect, the computer implemented method comprises steps of: generating an index of electronic objects, comprising steps of: performing, upon each electronic object, natural language processing, using a natural language processor, and readability analysis, using a readability analyser, to generate natural language processing data and a readability score for the respective object; and storing in the index, for each electronic object, electronic object data indicative of the electronic object and associated meta-data indicative of the natural language processing data and the readability score; receiving, from a user operating a user processing system, a request to perform a search of the index, wherein the request has associated therewith input data; performing, upon the input data, natural language processing, using the natural language processor to generate natural language processing data and a readability range for the input data; searching, using a search engine, the index based upon the readability range and the natural language processing data for the input data, to determine a plurality of correlated electronic objects; generating, using a ranking engine, a ranked list of the plurality of correlated electronic objects based on a correlation level for each of the plurality of electronic objects and a machine learned rating generated by a machine learned rating prediction system trained according to a profile associated with the user, the profile being indicative of natural language processing data generated, by the natural language processor, based on previous search requests received from the user and performed by the search engine; and transferring, to the user processing system, search results indicative of at least a portion of the ranked list of the plurality of correlated electronic objects.
机译:公开了一种计算机实现的方法,计算机化的系统和计算机可读记录介质。在一个方面,该计算机实现的方法包括以下步骤:生成电子对象的索引,包括以下步骤:在每个电子对象上,使用自然语言处理器执行自然语言处理,以及使用可读性分析器进行可读性分析,以执行以下操作:生成相应对象的自然语言处理数据和可读性评分;对于每个电子对象,将指示该电子对象的电子对象数据以及指示自然语言处理数据和可读性得分的相关元数据存储在索引中;从操作用户处理系统的用户接收执行索引搜索的请求,其中该请求与输入数据相关联;使用所述自然语言处理器对所述输入数据进行自然语言处理,生成自然语言处理数据和所述输入数据的可读性范围;使用搜索引擎,基于可读性范围和用于输入数据的自然语言处理数据搜索索引,以确定多个相关电子对象;使用排序引擎,基于多个电子对象中的每个电子对象的相关性级别以及由机器学习评分预测系统生成的机器学习评分来生成多个相关电子对象的排序列表,该机器学习评分由根据与用户,该简档指示自然语言处理器基于从用户接收并由搜索引擎执行的先前搜索请求而生成的自然语言处理数据;并将指示多个相关电子对象的排名列表的至少一部分的搜索结果传送到用户处理系统。

著录项

  • 公开/公告号AU2018382226A1

    专利类型

  • 公开/公告日2020-06-18

    原文格式PDF

  • 申请/专利权人 INQUISITIVE PTY LIMITED;

    申请/专利号AU20180382226

  • 发明设计人 POWER TIMOTHY;TOMES LUKE;LANE MITCHELL;

    申请日2018-12-14

  • 分类号G06F16/332;G06F16/33;G06F16/9032;G06F40/20;

  • 国家 AU

  • 入库时间 2022-08-21 11:12:13

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