WEB SERVER CONSTRAINT SUPPORT
    1.
    发明申请

    公开(公告)号:US20160234339A1

    公开(公告)日:2016-08-11

    申请号:US15130679

    申请日:2016-04-15

    Applicant: Netflix, Inc.

    Abstract: Techniques are disclosed for a web server to support constraints specified by a client. In one embodiment, the web server receives, from the client, a request for one or more blocks of data. The request includes one or more constraints provided by the client. The web server may perform an action responsive to an increase in network congestion, based on the one or more constraints. Accordingly, the web server may handle the request in a manner that more closely meets the needs of the client.

    Web server constraint support
    2.
    发明授权

    公开(公告)号:US10425500B2

    公开(公告)日:2019-09-24

    申请号:US15130679

    申请日:2016-04-15

    Applicant: Netflix, Inc.

    Abstract: Techniques are disclosed for a web server to support constraints specified by a client. In one embodiment, the web server receives, from the client, a request for one or more blocks of data. The request includes one or more constraints provided by the client. The web server may perform an action responsive to an increase in network congestion, based on the one or more constraints. Accordingly, the web server may handle the request in a manner that more closely meets the needs of the client.

    Measuring user quality of experience for a streaming media service

    公开(公告)号:US10200436B2

    公开(公告)日:2019-02-05

    申请号:US15333125

    申请日:2016-10-24

    Applicant: NETFLIX, INC.

    Abstract: Techniques are disclosed for representing a user quality of experience (QoE) experienced by users of a streaming media service using a single QoE metric. The single QoE metric may be determined based on a set of empirical characteristics relating to the streaming video service such as startup latency, video quality, and the likelihood of interruptions in streaming playback. The empirical characteristics may be weighted according to how much one factor influences user quality of experience, relative to the others. Representing the QoE as a single metric may allow a streaming media service provider to improve key business measures such as subscriber retention and engagement.

    Upstream fault detection
    6.
    发明授权

    公开(公告)号:US11507488B2

    公开(公告)日:2022-11-22

    申请号:US15619365

    申请日:2017-06-09

    Applicant: NETFLIX, INC.

    Abstract: Techniques are described for detecting faults in media content based on the behavior of users viewing the media content. Embodiments stream a first instance of media content to one or more users. The behavior of the one or more users is monitored while the users are viewing the streaming first instance of media content. Embodiments then determine whether the first instance of media content is faulty, based on the monitored behavior of the one or more users.

    Pre-buffering audio streams
    7.
    发明授权

    公开(公告)号:US10305947B2

    公开(公告)日:2019-05-28

    申请号:US15293738

    申请日:2016-10-14

    Applicant: Netflix Inc.

    Abstract: One embodiment of the present invention sets forth a technique for identifying and pre-buffering audio/video stream pairs. The method includes the steps of predictively identifying for pre-buffering at least one audio/video stream pair that may be selected for playback by a user subsequent to a currently playing audio/video stream pair, computing a first rate for pre-buffering an audio portion of the at least one audio/video stream pair and a second rate for pre-buffering a video portion of the at least one audio/video stream pair, downloading the audio portion at the first rate and downloading the video portion at the second rate, and storing the downloaded audio portion and the downloaded video portion in a content buffer.

    Upstream fault detection
    8.
    发明授权

    公开(公告)号:US09680906B2

    公开(公告)日:2017-06-13

    申请号:US14584174

    申请日:2014-12-29

    Applicant: NETFLIX, INC.

    CPC classification number: H04L65/80 H04H20/12 H04H60/33 H04H60/66 H04L67/42

    Abstract: Techniques are described for detecting faults in media content based on the behavior of users viewing the media content. Embodiments stream a first instance of media content to one or more users. The behavior of the one or more users is monitored while the users are viewing the streaming first instance of media content. Embodiments then determine whether the first instance of media content is faulty, based on the monitored behavior of the one or more users.

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