公开(公告)号：US20150154506A1

公开(公告)日：2015-06-04

申请号：US14094537

申请日：2013-12-02

Applicant: AMAZON TECHNOLOGIES, INC.

Inventor： Saral Jain ,  Ameet Nirmal Vaswani ,  Matthew Lloyd Trahan

IPC: G06N99/00 ,  H04L29/06

CPC classification number: G06N99/005 ,  H04L67/2819 ,  H04L67/2833 ,  H04L67/42

Abstract: Features are disclosed for generating request decision models for use by client computing devices to determine request paths or modes for content requests. The request modes may correspond to direct requests (e.g., requests made from a client device directly to a content server hosting requested content) or to indirect requests (e.g., requests made from the client device to the content server via an intermediary system). The request decision models may be trained by a machine learning algorithm using performance data (e.g., prior content load times), contextual information (e.g., state information associated with devices at times content requests are executed), and the like.

Abstract translation: 公开了用于生成请求决策模型以供客户端计算设备使用以确定内容请求的请求路径或模式的特征。 请求模式可以对应于直接请求（例如，从客户端设备直接发送到托管所请求的内容的内容服务器的请求）或间接请求（例如，经由中间系统从客户端设备到内容服务器的请求）。 可以通过使用性能数据（例如，先前的内容加载时间）的机器学习算法来训练请求决策模型，上下文信息（例如，与执行内容请求的设备相关联的状态信息）等。