Systems and methods for identifying, assembling, and publishing content are described. A content item, such as a video, having a first time length, is identified by a system to be included in a program scheduled for a first time period. The video may be hosted on a third party system. A first span of time within the first program is allocated for the video, wherein the first span of time is longer than the first time length. The system determines, prior to or at the first time period, a time difference between a current length of the video and the first span of time. At least partly in response to determining that the video has a time length shorter than the first span of time, the system selects supplemental content based at least in part of the determined time difference to be streamed to user terminals over a data network within the first time period.

An apparatus and method for providing a virtual online live video channel is disclosed. The virtual video channel is generated without requiring a dedicated content provider and encoder for the channel. A schedule server stores a schedule for the virtual online live video channel, and the schedule may include one or more of live streaming video content, stored video content, and advertising. A video player establishes communication with a manifest server and requests playback of the video channel. The manifest server generates a per-user manifest file corresponding to the schedule of the video channel and delivers the per-user manifest file to the video player. The video player may then retrieve the desired video content from the content delivery network to produce the virtual online video channel.

A video delivery service may display different content on an interface, such as ad campaign content, media program campaign content, and recommendation content. For example, the video delivery service may communicate with an ad engine to determine ad campaign content that is available and ad campaign scores to rate the ad campaign content. The video delivery service may also communicate with a media program campaign engine to determine any media program campaign content for the user and media program campaign scores to rate the media program campaign content. Then, the video delivery service may communicate with a recommendation engine to rate the relevance of the ad campaign content or media program campaign content to the user. After receiving the ad campaign content, media program campaign content, and recommendation content, the video delivery service determines which of the ad campaign content, media program campaign content, and recommendation content to display in the interface.

Aspects of the subject disclosure may include, for example, a method including initiating a creation of a personalized channel responsive to equipment of a user requesting to create the personalized channel, providing a search request to equipment of a content provider for content for the personalized channel according to the request, retrieving content from the content provider according to the search request as retrieved content, classifying the content for the personalized channel according to the content of the retrieved content to generate classified content according to a content type and a content source of the retrieved content, sequencing the classified content to generate sequenced content, assigning the sequenced content to a time slot in a schedule of the personalized channel as ready-for-broadcast content, and delivering the ready-for-broadcast content to the personalized channel according to the time slot in the schedule. Other embodiments are disclosed.

Methods and systems are described for recommending providers of media content to users viewing over-the-top content based on quality of service.

The present application discloses a video push method, comprising: obtaining keyword information, and filtrating electronic program information according to the keyword information to obtain a first push information; filtrating network video information according to the keyword information to obtain a second push Information; generating a push list according to the first push information and the second push information, and pushing videos according to the push list. The application also discloses a video push device and a computer-readable storage medium. The present application completes the effective filtration of video data from two different sources being of television and network, and further completes the intelligent push of the video data, and can provide users with rich and high quality video resources firstly according to the retrieved keyword information.

The present application discloses a video push method, comprising: obtaining keyword information, and filtrating electronic program information according to the keyword information to obtain a first push information; filtrating network video information according to the keyword information to obtain a second push Information; generating a push list according to the first push information and the second push information, and pushing videos according to the push list. The application also discloses a video push device and a computer-readable storage medium. The present application completes the effective filtration of video data from two different sources being of television and network, and further completes the intelligent push of the video data, and can provide users with rich and high quality video resources firstly according to the retrieved keyword information.

In some embodiments, a method receives a first ranking of content delivery networks for a playback session of a video and receives global constraints for the content delivery networks. The global constraints define an allocation for respective content delivery networks. The method alters a score for a content delivery network in the first ranking to generate a second ranking of content delivery networks. Then, a content delivery network is selected from the second ranking for the playback session of the video.

In some embodiments, a method receives a first ranking of content delivery networks for a playback session of a video and receives global constraints for the content delivery networks. The global constraints define an allocation for respective content delivery networks. The method alters a score for a content delivery network in the first ranking to generate a second ranking of content delivery networks. Then, a content delivery network is selected from the second ranking for the playback session of the video.

A stream tool is disclosed that allows a user to seamlessly connect with the different data streams, regardless of the streams' transmission platforms or communication protocols, in order to visually see a representation of the type of data that the data streams are transmitting. A user may specify a particular data stream and provide corresponding connection details. A collection of abstracted software functions enable interaction with the different stream platforms and protocols. Using these abstracted functions, a stream-processing service accesses a requested data stream and samples its data events for either sample timeframe or up to a threshold number of data events. The sampled data events are parsed and visually presented to the user in an easy-to-understand format. The user may then inspect the data stream's data for use in developing robust applications that may integrate and use such data.