公开(公告)号：US20160063393A1

公开(公告)日：2016-03-03

申请号：US14468710

申请日：2014-08-26

Applicant: Google Inc.

Inventor： Daniel Ramage ,  Jeremy Gillmor Kahn

IPC: G06N99/00 ,  H04L29/06

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for obtaining a global model for a particular activity, the global model derived based on input data representing multiple observations associated with the particular activity performed by a collection of users; determining, using the global model, expected data representing an expected observation associated with the particular activity performed by a particular user; receiving, by a computing device operated by the particular user, particular data representing an actual observation associated with the particular activity performed by the particular user; determining, by the computing device and using (i) the expected data and (ii) the particular data, residual data of the particular user; and deriving a local model of the particular user based on the residual data.

Abstract translation: 方法，系统和装置，包括在计算机存储介质上编码的用于获得用于特定活动的全局模型的计算机程序，所述全局模型基于表示与由用户集合执行的特定活动相关联的多个观察点的输入数据导出; 使用全局模型确定表示与由特定用户执行的特定活动相关联的预期观察值的预期数据; 由特定用户操作的计算设备接收表示与由特定用户执行的特定活动相关联的实际观察的特定数据; 由计算设备确定并使用（i）预期数据和（ii）特定数据，特定用户的剩余数据; 以及基于所述残差数据导出所述特定用户的本地模型。