- 专利标题: Machine learning based content delivery
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申请号: US16201883申请日: 2018-11-27
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公开(公告)号: US11457078B2公开(公告)日: 2022-09-27
- 发明人: Blair Livingstone Hotchkies , Bradley Scott Bowman , Paul Christopher Cerda , Min Chong , Anthony T. Chor , Leo Parker Dirac , Kevin Andrew Granade , Udip Pant , Sean Michael Scott
- 申请人: Amazon Technologies, Inc.
- 申请人地址: US WA Seattle
- 专利权人: Amazon Technologies, Inc.
- 当前专利权人: Amazon Technologies, Inc.
- 当前专利权人地址: US WA Seattle
- 代理机构: Knobbe Martens Olson & Bear LLP
- 主分类号: H04L29/06
- IPC分类号: H04L29/06 ; H04L29/08 ; H04L67/63 ; H04L67/568 ; H04L67/01
摘要:
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 In one aspect, content requests are routed in accordance with clusters of historical content requests to optimize cache performance.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delivery strategies for responding to content requests are determined based on a model trained on data related to historical content requests.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.
公开/授权文献
- US20190109926A1 MACHINE LEARNING BASED CONTENT DELIVERY 公开/授权日:2019-04-11
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