发明申请
US20100114878A1 SELECTIVE TERM WEIGHTING FOR WEB SEARCH BASED ON AUTOMATIC SEMANTIC PARSING 审中-公开
基于自动语义分析的网络搜索选择性加权

  • 专利标题: SELECTIVE TERM WEIGHTING FOR WEB SEARCH BASED ON AUTOMATIC SEMANTIC PARSING
  • 专利标题(中): 基于自动语义分析的网络搜索选择性加权
  • 申请号: US12256371
    申请日: 2008-10-22
  • 公开(公告)号: US20100114878A1
    公开(公告)日: 2010-05-06
  • 发明人: Yumao LuBenoit Dumoulin
  • 申请人: Yumao LuBenoit Dumoulin
  • 主分类号: G06F17/30
  • IPC分类号: G06F17/30 G06F7/00
SELECTIVE TERM WEIGHTING FOR WEB SEARCH BASED ON AUTOMATIC SEMANTIC PARSING
摘要:
A method is provided for selecting relevant documents returned from a search query. When a search engine finds search terms in documents, the document score is based on the frequency of the occurrence of those terms, the category of the term, and the section of the document in which the term is found. Each (category type, document section) pair is assigned a weight that is used to modify the contribution of term frequency. The weights are determined in an offline process using historical data and human validation. Through this empirical process, the weight assignments are made to correlate high relevance scores with documents that humans would find relevant to a search query.
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