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    • 1. 发明申请
    • SEARCH ENGINE DETERMINING RESULTS BASED ON PROBABILISTIC SCORING OF RELEVANCE
    • 基于相关性分析的搜索引擎确定结果
    • WO2007038713A2
    • 2007-04-05
    • PCT/US2006/037973
    • 2006-09-28
    • EPACRIS INC.LIDDELL, Craig, M.HOLT, Philip, J.
    • LIDDELL, Craig, M.HOLT, Philip, J.
    • G06F17/30
    • G06F17/30864G06F17/2785G06F17/30684G06F17/30687Y10S707/99933Y10S707/99934Y10S707/99943
    • A method of providing semantically relevant, ranked search results is described. An assignment of an occurrence of a term within a document to an ontological node is received based on usage of the occurrence of the term within the document. An accuracy value associated with the assignment is determined by comparing the assignment with a baseline assignment. A consistency value associated with an assignor is determined based on a repeatability of a plurality of assignments by the assignor. An assignor relevance score for the occurrence of the term is determined by statistically combining the accuracy value and the consistency value. An overall semantic relevance value for the occurrence of the term is determined by statistically combining the assignor relevance score determined for a plurality of assignors. The documents are ranked based on the overall semantic relevance value and presented in response to a search request.
    • 描述了提供语义相关的排名搜索结果的方法。 基于该文档中该术语的出现的使用,接收到本体论节点内的术语的发生的分配。 通过将分配与基线分配进行比较来确定与分配相关联的精度值。 基于转让人的多个分配的可重复性来确定与转让者相关联的一致性值。 通过统计组合准确度值和一致性值来确定该术语发生的转让人相关性得分。 通过统计组合为多个转让者确定的转让人相关性分数来确定该术语出现的整体语义相关性值。 这些文件基于总体语义相关性值进行排序,并响应于搜索请求而呈现。