Invention Grant
US07657493B2 Recommendation system that identifies a valuable user action by mining data supplied by a plurality of users to find a correlation that suggests one or more actions for notification
有权
推荐系统,其通过挖掘由多个用户提供的数据来识别有价值的用户动作,以找到建议用于通知的一个或多个动作的相关性
- Patent Title: Recommendation system that identifies a valuable user action by mining data supplied by a plurality of users to find a correlation that suggests one or more actions for notification
- Patent Title (中): 推荐系统,其通过挖掘由多个用户提供的数据来识别有价值的用户动作,以找到建议用于通知的一个或多个动作的相关性
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Application No.: US11613930Application Date: 2006-12-20
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Publication No.: US07657493B2Publication Date: 2010-02-02
- Inventor: Henricus Johannes Maria Meijer , William H. Gates, III , Raymond E. Ozzie , Gary W. Flake , Thomas F. Bergstraesser , Arnold N. Blinn , Christopher W. Brumme , Lili Cheng , Michael Connolly , Nishant V. Dani , Dane A. Glasgow , Daniel S. Glasser , Alexander G. Gounares , James R. Larus , Matthew B. MacLaurin , Debi P. Mishra , Amit Mital , Ira L. Snyder, Jr. , Chandramohan A. Thekkath , David R. Treadwell, III , Melora Zaner-Godsey
- Applicant: Henricus Johannes Maria Meijer , William H. Gates, III , Raymond E. Ozzie , Gary W. Flake , Thomas F. Bergstraesser , Arnold N. Blinn , Christopher W. Brumme , Lili Cheng , Michael Connolly , Nishant V. Dani , Dane A. Glasgow , Daniel S. Glasser , Alexander G. Gounares , James R. Larus , Matthew B. MacLaurin , Debi P. Mishra , Amit Mital , Ira L. Snyder, Jr. , Chandramohan A. Thekkath , David R. Treadwell, III , Melora Zaner-Godsey
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Lee & Hayes, PLLC
- Main IPC: G06F15/18
- IPC: G06F15/18 ; G06F17/27 ; G06F17/30 ; G06F17/15

Abstract:
Personal data mining mechanisms and methods are employed to identify relevant information that otherwise would likely remain undiscovered. Users supply personal data that can be analyzed in conjunction with data associated with a plurality of other users to provide useful information that can improve business operations and/or quality of life. Personal data can be mined alone or in conjunction with third party data to identify correlations amongst the data and associated users. Applications or services can interact with such data and present it to users in a myriad of manners, for instance as notifications of opportunities.
Public/Granted literature
- US20080082467A1 PERSONAL DATA MINING Public/Granted day:2008-04-03
Information query