发明授权
US07409336B2 Method and system for searching data based on identified subset of categories and relevance-scored text representation-category combinations
有权
基于识别的类别子集和相关性评分的文本表示类别组合来搜索数据的方法和系统
- 专利标题: Method and system for searching data based on identified subset of categories and relevance-scored text representation-category combinations
- 专利标题(中): 基于识别的类别子集和相关性评分的文本表示类别组合来搜索数据的方法和系统
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申请号: US10465338申请日: 2003-06-19
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公开(公告)号: US07409336B2公开(公告)日: 2008-08-05
- 发明人: Wai H. Pak , Sia Henry Saputra , Yunfei Zhang , Marc Alexander Caltabiano
- 申请人: Wai H. Pak , Sia Henry Saputra , Yunfei Zhang , Marc Alexander Caltabiano
- 申请人地址: US CA San Mateo
- 专利权人: Siebel Systems, Inc.
- 当前专利权人: Siebel Systems, Inc.
- 当前专利权人地址: US CA San Mateo
- 代理机构: Campbell Stephenson LLP
- 主分类号: G06F17/27
- IPC分类号: G06F17/27 ; G06F17/03 ; G06F17/21
摘要:
A method and system for analyzing natural language text to identify a set of categories of data in a knowledge base associated with the natural language text and selecting a category from the set of categories is provided. The method and system further provides automatically providing a single category if the set of categories only contains the single category. The method and system also provides that each category in the knowledge base is associated with a stored text representation of a sample natural language text and a score for the text representation-category combination, wherein the score is representative of a relative relevance of the text representation-category combination. The method and system further provide for modifying the score associated with the text representation-category combination of a selected category using feedback provided upon the selection.
公开/授权文献
- US20040260534A1 Intelligent data search 公开/授权日:2004-12-23
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