Machine learning based content delivery
First Claim
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1. A computer-implemented method for facilitating content delivery, the computer-implemented method comprising:
- under control of a hardware computing device configured with specific computer executable instructions,training a machine learning model that predicts content delivery performance based, at least in part, on historical data related to content requests over a specified period of time;
providing a first separable portion of the machine learning model to a user computing device;
obtaining an incoming content request from the user computing device, wherein the incoming content request includes information generated by the first separable portion of the machine learning model executing on the user computing device;
identifying a predicted content delivery performance that results from an application of a second separable portion of the machine learning model to a candidate content delivery strategy for configuring a content page corresponding to the incoming content request in a first above-the-fold (ATF) configuration; and
in response to a determination that the predicted content delivery performance satisfies a predetermined condition;
configuring the requested content page in the first ATF configuration;
generating a response to the incoming content request in accordance with configuring the requested content page in the first ATF configuration, wherein the generated response indicates a priority for retrieving network resources to be displayed in an ATF portion of the requested content page; and
transmitting the generated response to the user computing device, wherein reception of the generated response causes the user computing device to retrieve the network resources in accordance with the priority indicated in the generated response.
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Abstract
Systems and methods for managing content delivery functionalities based on machine learning models are provided. In one aspect, content requests are routed in accordance with clusters of historical content requests to optimize cache performance. In another aspect, content delivery strategies for responding to content requests are determined based on a model trained on data related to historical content requests. The model may also be used to determine above-the-fold configurations for rendering responses to content requests. In some embodiments, portions of the model can be executed on client computing devices.
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Citations
20 Claims
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1. A computer-implemented method for facilitating content delivery, the computer-implemented method comprising:
under control of a hardware computing device configured with specific computer executable instructions, training a machine learning model that predicts content delivery performance based, at least in part, on historical data related to content requests over a specified period of time; providing a first separable portion of the machine learning model to a user computing device; obtaining an incoming content request from the user computing device, wherein the incoming content request includes information generated by the first separable portion of the machine learning model executing on the user computing device; identifying a predicted content delivery performance that results from an application of a second separable portion of the machine learning model to a candidate content delivery strategy for configuring a content page corresponding to the incoming content request in a first above-the-fold (ATF) configuration; and in response to a determination that the predicted content delivery performance satisfies a predetermined condition; configuring the requested content page in the first ATF configuration; generating a response to the incoming content request in accordance with configuring the requested content page in the first ATF configuration, wherein the generated response indicates a priority for retrieving network resources to be displayed in an ATF portion of the requested content page; and transmitting the generated response to the user computing device, wherein reception of the generated response causes the user computing device to retrieve the network resources in accordance with the priority indicated in the generated response. - View Dependent Claims (2, 3, 4, 5)
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6. A computer-implemented method comprising:
under control of a hardware computing device configured with specific computer executable instructions, obtaining a machine learning model trained to facilitate content delivery in response to content requests; causing a first separable portion of the machine learning model to be provided to a user computing device; in response to a first content request submitted by the user computing device, identifying a first content delivery strategy for configuring a content page corresponding to the first content request in a first above-the-fold (ATF) configuration as a result of the first separable portion of the machine learning model executing on the user computing device; and configuring the content page in the first ATF configuration and indicating a priority for retrieving network resources to be displayed in an ATF portion of the content page. - View Dependent Claims (7, 8, 9, 10)
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11. A system comprising:
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a data store configured to at least store computer-executable instructions; and a hardware processor in communication with the data store, the hardware processor configured to execute the computer-executable instructions to at least; obtain a machine learning model trained to facilitate content delivery in response to content requests; cause a first separable portion of the machine learning model to be provided to a user computing device; in response to a first content request submitted by the user computing device, identify a first content delivery strategy for configuring a content page corresponding to the first content request in a first above-the-fold (ATF) configuration as a result of the first separable portion of the machine learning model executing on the user computing device; and configure the content page in the first ATF configuration and indicating a priority for retrieving network resources to be displayed in an ATF portion of the content page. - View Dependent Claims (12, 13, 14, 15)
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16. A non-transitory computer readable storage medium storing computer executable instructions that when executed by a processor perform operations comprising:
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obtaining a machine learning model trained to facilitate content delivery in response to content requests; causing a first separable portion of the machine learning model to be provided to a first user computing device; in response to a first content request submitted by the first user computing device, identifying a first content delivery strategy for configuring a content page corresponding to the first content request in a first above-the-fold (ATF) configuration as a result of the first separable portion of the machine learning model executing on the first user computing device; and configuring the content page in the first ATF configuration and indicating a priority for retrieving network resources to be displayed in an ATF portion of the content page. - View Dependent Claims (17, 18, 19, 20)
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Specification