公开(公告)号：US20150302316A1

公开(公告)日：2015-10-22

申请号：US14258648

申请日：2014-04-22

Applicant: Google Inc.

Inventor： Kirill Buryak ,  Florian David Goerisch ,  Shaopeng Jia

IPC: G06N99/00 ,  G06N5/04 ,  H04M3/22

CPC classification number: G06N20/00 ,  H04L51/12 ,  H04M3/2281 ,  H04M3/436

Abstract: A computer-implemented method for generating a machine-learning model can include receiving, at a computing device having one or more processors, a plurality of reported phone numbers from telephone users, a plurality of posted phone numbers from one or more websites, and transcriptions of messages associated with a plurality of calling phone numbers. The machine-learning model is generated based on these various inputs and stored at the computing device. The model is configured to determine a probability that an unknown phone message is unwanted based on a phone number from which the unknown phone message originated.

Abstract translation: 用于生成机器学习模型的计算机实现的方法可以包括在具有一个或多个处理器的计算设备处接收来自电话用户的多个报告的电话号码，来自一个或多个网站的多个已发布的电话号码以及转录 与多个呼叫电话号码相关联的消息。 机器学习模型基于这些各种输入生成并存储在计算设备中。 该模型被配置为基于来自未知电话消息的电话号码来确定未知电话消息是不需要的概率。