Verizon Media Inc.

Yahoo Ad Tech LLC

Aol Advertising Inc.

Jaime Batiz

Niklas Karlsson

Robert Luenberger

Robert Alden Luenberger

Systems, methods, and computer-readable media are provided for group identification and content delivery. In accordance with one implementation, a computer-implemented method is provided that includes operations performed by at least one processor. The operations of the method include generating, based on identification data, an identification profile for each member of a set of members, the set of members being associated with a viewing group. The set of members may comprise all of the members of the viewing group or any subset of the members of the viewing group. The operations also include determining an individual score for each member of the set of members for each media file of a plurality of available media files based on the corresponding identification profile. Additionally, the operations include determining a group score for each of the plurality of available media files based on the corresponding individual score of each member.

Computerized systems and methods for group identification and content delivery

Moments of interest of an event may be automatically detected, encoded as snippets, and distributed to users subscribed to a channel of this event. In various embodiments, a moment of interest of an event is to be automatically detected, e.g., based on a near real-time cue on a social network or features in the event transmission. Further, a snippet can be encoded from the transmission of the event based on the detected moment of interest. The snippet may be put on a market place to be bid by various content distributors. Eventually, the snippet may be distributed to an interested user, e.g., via a channel subscribed by the user. Other embodiments may be described and/or claimed.

Encoding and distributing snippets of events based on near real time cues

Systems, methods, and computer-readable media are provided for generating and using models to select thumbnail images for videos. In one exemplary method, the method comprises extracting at least one thumbnail from a video and determining at least one feature present in the at least one thumbnail. The method further comprises sending the extracted at least one thumbnail to one of an editor or at least one viewer. The method further comprises receiving feedback information related to the at least one thumbnail. The method further comprises generating a model and storing the generated model for use in identifying thumbnails for other videos. The model can be generated based on the determined at least one feature and the received feedback information.

Growing community of inventors

Campbell, CA, United States of America

Jaime Batiz