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公开(公告)号:US20180103079A1
公开(公告)日:2018-04-12
申请号:US15289886
申请日:2016-10-10
Applicant: Google Inc.
Inventor: Justin Lewis , Richard Dominick Rapp
IPC: H04L29/06 , H04N21/2387 , H04N21/472 , H04L29/08
CPC classification number: H04L65/604 , H04L67/02 , H04L67/146 , H04N21/2387 , H04N21/4668 , H04N21/47217 , H04N21/4722 , H04N21/84
Abstract: A user device receives a first media item that is associated with a second media item. The device determines that a playback state for the device indicates that the device is paired with an alternative playback device. The device sends the playback state in a request for the second media item, receives the second media item in a first format for playback on the user device and in a second format for playback on the alternative playback device. The device determines whether the playback state of the device is the same. The device displays a first graphical representation of the second media item in the first format on the user device if the user device is no longer paired with the alternative playback device and displays a second graphical representation of the second media item in the second format on the user device if the user device is still paired with the alternative playback device.
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公开(公告)号:US20200342066A1
公开(公告)日:2020-10-29
申请号:US15219027
申请日:2016-07-25
Applicant: Google Inc.
Inventor: Justin Lewis , Richard Dominick Rapp
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for reducing latency in client side presentation of content. In one aspect, a method includes: receiving a request for content to cache on a client device for subsequent presentation with one or more target documents linked to by a document; identifying an interaction likelihood for each link; determining, for each target document, content types that are eligible to be presented in slots of the target document; identifying, for each content type, target documents that include slots in which the content type is eligible to be presented; determining, for each content type, a presentation likelihood based on an aggregation of the interaction likelihoods of the target documents for that content type; ranking each content type based on the presentation likelihoods; and caching, on the client device, third party content having a highest ranked content type.
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