ADAM B GOTLIEB - Parker CO, US Joseph F Klingensmith - Colorado Springs CO, US Kavith Guda - Greenwood Village CO, US Ryan P. Mocko - Colorado Springs CO, US Fee Ling Chin - Lafayette CO, US
International Classification:
G06F 7/00 G06F 17/30 G06F 15/16
US Classification:
707100, 709204, 707E17044
Abstract:
One embodiment of the invention includes a message tracking system. The system comprises a message agent programmed to detect messages transmitted from one application to at least one other application. The system also comprises a detector programmed to determine a protocol that is associated with a given message of the messages detected by the message agent. The system further comprises a tracking manager programmed to generate tracking information for the given message based on the protocol determined by the detector and to store the tracking information in memory.
Dave Kimble - Boulder CO, US Fee Ling Chin - Lafayette CO, US
International Classification:
H04N 5/445
US Classification:
725 46
Abstract:
Recommendation engine apparatus and associated methods provide content compiled from various sources and selected to match user preferences. In one embodiment, the recommendation apparatus comprises a headend entity; in another, it is co-located on a user's CPE. In one embodiment, the recommendation engine creates content records from content metadata for comparison to a user profile. The user profile is pre-programmed; however has the ability to dynamically shift toward a user's preferences as the user takes actions regarding content. Client applications are utilized to compile and present content; feedback mechanisms are utilized to enable “learning” from user activities to generate more precise recommendations as well as to “unlearn” stale preferences. Recommended content is displayed in the form of a playlist, or as a continuous stream on a virtual channel, or presented in an electronic program guide. A business rules “engine” useful in implementing operational or business goals is also disclosed.
User Interface With Content Filtering And/Or Social Networking Integration
On a device with an internet protocol network connection, an application is provided that allows a user to watch internet protocol television on the device. While the user is watching a first live internet protocol television program via the application on the device, an accurate current list of second through Nth live internet protocol television programs that are available to be watched by the user is displayed. The device could include, for example, a gaming console, a media streamer, or the like.
Recommendation engine apparatus and associated methods provide content compiled from various sources and selected to match user preferences. In one embodiment, the recommendation apparatus comprises a headend entity; in another, it is co-located on a user's CPE. In one embodiment, the recommendation engine creates content records from content metadata for comparison to a user profile. The user profile is pre-programmed; however has the ability to dynamically shift toward a user's preferences as the user takes actions regarding content. Client applications are utilized to compile and present content; feedback mechanisms are utilized to enable “learning” from user activities to generate more precise recommendations as well as to “unlearn” stale preferences. Recommended content is displayed in the form of a playlist, or as a continuous stream on a virtual channel, or presented in an electronic program guide. A business rules “engine” useful in implementing operational or business goals is also disclosed.
- New York NY, US Fee Ling Chin - Lafayette CO, US
International Classification:
H04N 21/466 H04N 21/442
Abstract:
Recommendation engine apparatus and associated methods provide content compiled from various sources and selected to match user preferences. In one embodiment, the recommendation apparatus comprises a headend entity; in another, it is co-located on a user's CPE. In one embodiment, the recommendation engine creates content records from content metadata for comparison to a user profile. The user profile is pre-programmed; however has the ability to dynamically shift toward a user's preferences as the user takes actions regarding content. Client applications are utilized to compile and present content; feedback mechanisms are utilized to enable “learning” from user activities to generate more precise recommendations as well as to “unlearn” stale preferences. Recommended content is displayed in the form of a playlist, or as a continuous stream on a virtual channel, or presented in an electronic program guide. A business rules “engine” useful in implementing operational or business goals is also disclosed.
User Interface With Content Filtering And/Or Social Networking Integration
On a device with an internet protocol network connection, an application is provided that allows a user to watch internet protocol television on the device. While the user is watching a first live internet protocol television program via the application on the device, an accurate current list of second through Nth live internet protocol television programs that are available to be watched by the user is displayed. The device could include, for example, a gaming console, a media streamer, or the like.