Machine learning system and method comprising segregator convergence and recognition components to determine the existence of possible tagging data trends and identify that predetermined convergence criteria have been met or establish criteria for taxonomy purpose then recognize items based on an aggregate of user tagging behavior

发明授权

US07672909B2 Machine learning system and method comprising segregator convergence and recognition components to determine the existence of possible tagging data trends and identify that predetermined convergence criteria have been met or establish criteria for taxonomy purpose then recognize items based on an aggregate of user tagging behavior 有权

标题翻译：机器学习系统和方法包括分离器收敛和识别组件以确定可能的标签数据趋势的存在并且识别已经满足预定的收敛标准或建立用于分类目的的标准，然后基于用户标签行为的总计识别项目

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专利标题： Machine learning system and method comprising segregator convergence and recognition components to determine the existence of possible tagging data trends and identify that predetermined convergence criteria have been met or establish criteria for taxonomy purpose then recognize items based on an aggregate of user tagging behavior
专利标题（中）： 机器学习系统和方法包括分离器收敛和识别组件以确定可能的标签数据趋势的存在并且识别已经满足预定的收敛标准或建立用于分类目的的标准，然后基于用户标签行为的总计识别项目
申请号： US11613779

申请日： 2006-12-20
公开(公告)号： US07672909B2

公开(公告)日： 2010-03-02
发明人: Henricus Johannes Maria Meijer , Raymond E. Ozzie , Gary W. Flake , Thomas F. Bergstraesser , Arnold N. Blinn , Christopher W. Brumme , Lili Cheng , Michael Connolly , Daniel S. Glasser , Alexander G. Gounares , Matthew B. MacLaurin , Debi P. Mishra , Melora Zaner-Godsey
申请人： Henricus Johannes Maria Meijer , Raymond E. Ozzie , Gary W. Flake , Thomas F. Bergstraesser , Arnold N. Blinn , Christopher W. Brumme , Lili Cheng , Michael Connolly , Daniel S. Glasser , Alexander G. Gounares , Matthew B. MacLaurin , 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： G06F15/18
IPC分类号： G06F15/18

Machine learning system and method comprising segregator convergence and recognition components to determine the existence of possible tagging data trends and identify that predetermined convergence criteria have been met or establish criteria for taxonomy purpose then recognize items based on an aggregate of user tagging behavior

摘要：

Systems and methods that recognize items based on aggregated tagging behavior of users regarding the items. Individual users can establish relationships among tagged items and the system analyzes aggregate of such established relationships, to recognize the item and/or infer additional information regarding the items (e.g., wisdom of crowd such as metadata annotations, relevance ranking, and the like). Subsequently, search engine crawlers can be supplied with such additional information (e.g., extra metadata for reverse link search tables) to facilitate enterprise management and search.

摘要（中）：

基于用户关于项目的聚合标记行为识别项目的系统和方法。个体用户可以建立标记的项目之间的关系，并且系统分析这样建立的关系的集合，识别项目和/或推断关于项目的附加信息（例如，人群的智慧，诸如元数据注释，相关性排名等）。随后，可以向搜索引擎抓取器提供这样的附加信息（例如，用于反向链路搜索表的额外的元数据）以便于企业管理和搜索。

公开/授权文献

US20080082466A1 TRAINING ITEM RECOGNITION VIA TAGGING BEHAVIOR 公开/授权日：2008-04-03

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