发明名称 |
SEMANTIC PLACE LABELS |
摘要 |
The subject disclosure is directed towards automatically labeling location-related information such as corresponding to GPS data or the like with a semantic label. A classifier trained with machine learning is provided with feature data corresponding to the location-related information and other features, such as user demographics data of a person associated with location-related information. The semantic label is received from the classifier, and associated with the location-related information. Other features may be used, such as other egocentric features corresponding to a person's particular visit, features from a sequence of visits, and/or features from other user information. The semantic label may be used to trigger an action, label a location on a map or the like, and so on. |
申请公布号 |
US2015161439(A1) |
申请公布日期 |
2015.06.11 |
申请号 |
US201314101937 |
申请日期 |
2013.12.10 |
申请人 |
Microsoft Corporation |
发明人 |
Krumm John C.;Rouhana Dany;Chang Ming-Wei;Kansal Aman;Choudhury Piali |
分类号 |
G06K9/00;G06T11/60;G06K9/62 |
主分类号 |
G06K9/00 |
代理机构 |
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代理人 |
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主权项 |
1. A method performed at least in part on at least one processor, comprising, labeling location-related information with a semantic label, including providing feature data corresponding to the location-related information to a classifier trained via machine learning, the feature data including user demographics data of a person associated with location-related information, receiving a semantic label from the classifier, and associating the semantic label with the location-related information. |
地址 |
Redmond WA US |