发明授权
- 专利标题: Machine learning system for analyzing and establishing tagging trends based on convergence criteria
- 专利标题(中): 基于收敛标准分析和建立标签趋势的机器学习系统
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申请号: US11536462申请日: 2006-09-28
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公开(公告)号: US07716150B2公开(公告)日: 2010-05-11
- 发明人: Lili Cheng , Gary W. Flake , Alexander G. Gounares , James R. Larus , Matthew B. MacLaurin , Raymond E. Ozzie , Thomas F. Bergstraesser , Arnold N. Blinn , Christopher W. Brumme , Michael Connolly , Daniel S. Glasser , Henricus Johannes Maria Meijer , Debi P. Mishra , Melora Zaner-Godsey
- 申请人: Lili Cheng , Gary W. Flake , Alexander G. Gounares , James R. Larus , Matthew B. MacLaurin , Raymond E. Ozzie , Thomas F. Bergstraesser , Arnold N. Blinn , Christopher W. Brumme , Michael Connolly , Daniel S. Glasser , Henricus Johannes Maria Meijer , Debi P. Mishra , Melora Zaner-Godsey
- 申请人地址: US WA Redmond
- 专利权人: Microsoft Corporation
- 当前专利权人: Microsoft Corporation
- 当前专利权人地址: US WA Redmond
- 代理机构: Lee & Hayes, PLLC
- 主分类号: G06F17/00
- IPC分类号: G06F17/00 ; G06N5/00
摘要:
Systems and methods that analyze aggregated tagging behavior of users, and evaluate such tagging trends to identify criteria for taxonomy applications. Initially, existence of a possible trend of tagging data based on collective user behavior is determined. Subsequently, tagging trends can be examined to identify that a predetermined convergence criteria has in fact been met, and/or establish such criteria for taxonomy applications. Machine learning systems (implicitly as well as explicitly trained) can be supplied to facilitate determining the trends and the convergence criteria.
公开/授权文献
- US20080082463A1 EMPLOYING TAGS FOR MACHINE LEARNING 公开/授权日:2008-04-03