发明申请
- 专利标题: Unsupervised learning tool for feature correction
- 专利标题(中): 无监督学习工具进行功能校正
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申请号: US11253023申请日: 2005-10-17
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公开(公告)号: US20070043707A1公开(公告)日: 2007-02-22
- 发明人: Parashuram Kulkarni , Binu Raj
- 申请人: Parashuram Kulkarni , Binu Raj
- 优先权: IN753/KOL/05 20050817
- 主分类号: G06F17/30
- IPC分类号: G06F17/30
摘要:
Techniques for correcting miscategorized features excerpted from web pages are provided. For each of several categories and several pages on a particular web site, a separate feature may be excerpted from that page and associated with that page in relation to that category. Often, many of the “high confidence” features that have been associated with the same category are found to be associated with similar characteristics regardless of the pages from which those features were excerpted. Thus, a set of category characteristics, which are often found associated with the “high confidence” features in a particular category, may be determined. For each page, a candidate feature that is associated with the set of category characteristics may be identified in that page. If, in relation to the particular category, a feature other than the candidate feature is associated with that page, then that other feature may be replaced by the candidate feature.
公开/授权文献
- US07483903B2 Unsupervised learning tool for feature correction 公开/授权日:2009-01-27
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