Abstract: Video recommendations are generated based on video features such as motion vectors, color saturation, and scene changes.

Abstract: A system and method for supporting content distribution in an electronic network includes a peer-to-peer network of electronic devices. The electronic devices are initially preloaded in a distributed manner with various content segments from corresponding content items. When a system user selects a particular content item on a corresponding electronic device, a download manager of the electronic device may automatically generate content segment requests to other appropriate electronic devices in the peer-to-peer network. The download manager may then download and automatically reassemble the content segments to produce the selected content item for utilization by the system user.

Abstract: A system and method for effectively supporting content distribution in an electronic network includes a content server and a peer-to-peer network of client devices. The content server stores content items received from a content provider. A recommendation engine of the content server creates a global recommendation list to identify an optimal global candidate from among the stored content items for performing an automatic and transparent content download procedure. The recommendation engine creates the global recommendation list by analyzing selectable content-ranking criteria from a plurality of device users of the client devices. The content server then downloads the optimal global candidate from the stored content items to one or more identified target devices during the content download procedure.

Abstract: A personalized entertainment and information platform (Sphere) which provides personalized content delivery across different platforms and modes of delivery. A personal media device (e.g., PC, television, and so forth) interacts with a control server configured for accessing media content and metadata over the Internet. In response to input from the user and the history of user media selection and viewing, a prioritized recommendation list is generated and queued for downloading. The associated content is then downloaded automatically to the personal media device, without the need of user interaction. At this time the user can access the downloaded content immediately without a lengthy delay in waiting for content downloading. It will be appreciated that content such as shows and movies in HD format are of significant size (e.g., up to 50 GB) which would require significant download time, and tie up network and system resources.

Abstract: A cost function is stochastically optimized using, e.g., simulated annealing to render a neighborhood of entities based on which content recommendations can be provided to a user of a home entertainment system. The cost function represents a normalized sum of rating similarity scores from entities of the neighborhood that are related to content items viewed by the user.