发明名称 |
HIERARCHICAL STATISTICAL MODEL FOR BEHAVIOR PREDICTION AND CLASSIFICATION |
摘要 |
Technologies are generally provided for a hierarchical, feature based statistical model that can be used for personalized classification or predictions within a community of users. Personalization refers to learning about the habits and characteristics of individual users and adapting user experiences based on that learning. The model may be used in a communication application to predict user actions on incoming email messages and to help users triage email by making personalized suggestions based on the model predictions. A community of users associated together with the communication application may be incorporated together into a single model to enable for continuous fine-grain interaction between intelligence learned from the community of users as a whole and that learned from individual users. The single model may allow a seamless progression between predictions for a completely new user based on community observations and highly personalized predictions for a long-term user based on individual observations. |
申请公布号 |
WO2015069607(A3) |
申请公布日期 |
2015.07.02 |
申请号 |
WO2014US63770 |
申请日期 |
2014.11.04 |
申请人 |
MICROSOFT TECHNOLOGY LICENSING, LLC |
发明人 |
GUIVER, JOHN;WINN, JOHN;EDELEN, JAMES |
分类号 |
G06E1/00 |
主分类号 |
G06E1/00 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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