Abstract: The present principles generally relate to multimedia processing and viewing, and particularly, to apparatuses and methods for obtaining enhanced user feedback ratings of a multimedia program. In an exemplary embodiment, viewers are provided with different opportunities to provide user feedback including feedback ratings for the multimedia program during various points in the playout of the program. The various points can be based on the content of the program or during different selected time intervals during the playout of the program.

Abstract: A method that controls playback of content includes identifying (620) a consumption profile for a user, identifying (650) a consumption profile for a content item, and automatically modifying (680) an aspect of playback of the content item based at least partly on the consumption profile for the user and the consumption profile for the content item. The aspect of playback can be a playback command, one or more playback attributes, and/or a presentation of additional content items after completion of a current content item.

Abstract: A receiver on a mobile device accepts at least one unrequested signal from a transmitter located in proximity of a first screen showing a first multimedia content. The received signal contains information associated with a second multimedia content shown on a second screen. The information can trigger an application residing on the mobile device based on the characteristics of the received signal. The information is accepted by the application which then generates second screen information associated with a displaying of a second multimedia content on a second screen, the generation of the second screen information based upon the information, reception of the transmitted signal and a location of the second screen.

Abstract: Ways to generate optimized content offers for extended viewing sessions are described. A usage analyzer (140) collects and analyzes viewing session information. As a user accesses content via a user device (130) and/or content server (120), viewing session information including context attributes, content attributes, and user attributes are collected and analyzed. In addition, viewing session information from previous viewing sessions (and/or sessions associated with other users) is analyzed. Consumption behavior is extracted (430) and used to determine (440) whether the user is an offer candidate, where an offer includes a discount and/or expiration related to an associated set of content items. If the user is an offer candidate, the offer is sent (450) to the user device.

Abstract: Ways to generate optimized content offers for extended viewing sessions are described. A usage analyzer (140) collects and analyzes information before the start of content consumption within a session. As a user accesses content via a user device (130) and/or content server (120), session information including context attributes, content attributes, and user attributes are collected and analyzed. In addition, viewing session information from previous viewing sessions (and/or sessions associated with other users) is analyzed. Consumption behavior is extracted (430) and used to predict (440) whether the user will be serial watching multiple content items. If the user is predicted as an offer candidate, an offer may be sent (450) to the user device to increase the velocity of content consumption within the viewing session.