发明授权
US08429103B1 Native machine learning service for user adaptation on a mobile platform
有权
在移动平台上进行用户自适应的本地机器学习服务
- 专利标题: Native machine learning service for user adaptation on a mobile platform
- 专利标题(中): 在移动平台上进行用户自适应的本地机器学习服务
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申请号: US13565508申请日: 2012-08-02
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公开(公告)号: US08429103B1公开(公告)日: 2013-04-23
- 发明人: Hrishikesh Aradhye , Wei Hua , Ruei-sung Lin
- 申请人: Hrishikesh Aradhye , Wei Hua , Ruei-sung Lin
- 申请人地址: US CA Mountain View
- 专利权人: Google Inc.
- 当前专利权人: Google Inc.
- 当前专利权人地址: US CA Mountain View
- 代理机构: McDonnell Boehnen Hulbert & Berghoff LLP
- 主分类号: G06F15/18
- IPC分类号: G06F15/18 ; G09B19/00
摘要:
Disclosed are apparatus and methods for providing machine-learning services. A machine-learning service executing on a mobile platform can receive data related to a plurality of features. In some cases, the received data can include data related to features received from an application and data related to features received from the mobile platform. The machine-learning service can determine at least one feature based on the received data. The machine-learning service can generate an output by performing a machine-learning operation on the at least one feature. The machine-learning operation can be selected from among an operation of ranking the at least one feature, an operation of classifying the at least one feature, an operation of predicting the at least one feature, and an operation of clustering the at least one feature. The machine-learning service can send the output.
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