BROWSER-BASED SELECTION OF CONTENT REQUEST MODES

摘要

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.

主权项

1. A system comprising:
one or more computing devices programmed to at least:
obtain performance data reflecting load times for a plurality of content requests, wherein at least a first portion of the content requests were made from a first group of client devices directly to content servers, and wherein at least a second portion of the content requests were made from a second group of client devices to an intermediary system;obtain contextual information regarding a state of the intermediary system and at least a portion of the first or second groups of client devices at times corresponding to individual requests of the plurality of content requests; andgenerate a request decision model by using a machine learning algorithm to process the performance data and the contextual information, wherein the request decision model is configured to determine whether a content request is to be made directly to a content server or indirectly to an intermediary system based at least partly on a current state of a client device making the particular content request.