Abstract: In an embodiment, a computer-implemented method includes starting a first viewing session; receiving one or more programming streams including one or more video programs; storing (e.g., at regular time intervals) program data including identification data describing the one or more video programs and a corresponding time interval; monitoring and/or storing a plurality of interactions with video controls of the particular viewer during the first viewing session; ending the first viewing session; aggregating at least a portion of the plurality of the interactions and the program data in a new session profile that represents the particular viewer's short-term viewing habits; accessing one or more existing signature profiles having signature categories that may represent the long-term viewing habits of a respective viewer; and matching the new session profile with one of the one or more existing signature profiles to deliver a particular viewer a targeted advertisement.

Abstract: In one embodiment, a computer-implemented method includes monitoring a plurality of actions and inactions with video controls of a particular viewer during a first session, wherein the plurality of actions and inactions form a session profile that represents the particular viewer's short-term viewing habits; correlating one or more session profiles that have similar category values to create a signature profile having signature categories that represents the long-term viewing habits of a particular viewer; and matching a new session profile with an existing signature profile to determine a particular viewer for targeted advertising purposes.

Abstract: Profiling a television viewer by monitoring and processing, locally at a television viewing environment, the viewer's interactivity (e.g., via a remote control unit) with the television viewing environment. Generating one or more profiles for each viewer based on one or more of the multitude of interactions of each viewer and on, in general, the viewing habits and preferences of the viewer. Automatically and reliably, detecting or inferring at a particular time, which specific individual or individuals, are actually interacting with the TV in household comprising more than one individual. Such viewer identification and profile generation can be used to facilitate the delivery of targeted content, including targeted advertising.

Abstract: Profiling a television viewer by monitoring and processing, locally at a television viewing environment, the viewer's interactivity (e.g., via a remote control unit) with the television viewing environment. Generating one or more profiles for each viewer based on one or more of the multitude of interactions of each viewer and on, in general, the viewing habits and preferences of the viewer. Automatically and reliably, detecting or inferring at a particular time, which specific individual or individuals, are actually interacting with the TV in household comprising more than one individual. Such viewer identification and profile generation can be used to facilitate the delivery of targeted content, including targeted advertising.

Abstract: Profiling a television viewer by monitoring and processing, locally at a television viewing environment, the viewer's interactivity (e.g., via a remote control unit) with the television viewing environment. Generating one or more profiles for each viewer based on one or more of the multitude of interactions of each viewer and on, in general, the viewing habits and preferences of the viewer. Automatically and reliably, detecting or inferring at a particular time, which specific individual or individuals, are actually interacting with the TV in household comprising more than one individual. Such viewer identification and profile generation can be used to facilitate the delivery of targeted content, including targeted advertising.

Abstract: Profiling a television viewer by monitoring and processing, locally at a television viewing environment, the viewer's interactivity (e.g., via a remote control unit) with the television viewing environment. Generating one or more profiles for each viewer based on one or more of the multitude of interactions of each viewer and on, in general, the viewing habits and preferences of the viewer. Automatically and reliably, detecting or inferring at a particular time, which specific individual or individuals, are actually interacting with the TV in household comprising more than one individual. Such viewer identification and profile generation can be used to facilitate the delivery of targeted content, including targeted advertising.

Abstract: Profiling a television viewer by monitoring and processing, locally at a television viewing environment, the viewer's interactivity (e.g., via a remote control unit) with the television viewing environment. Generating one or more profiles for each viewer based on one or more of the multitude of interactions of each viewer and on, in general, the viewing habits and preferences of the viewer. Automatically and reliably, detecting or inferring at a particular time, which specific individual or individuals, are actually interacting with the TV in household comprising more than one individual. Such viewer identification and profile generation can be used to facilitate the delivery of targeted content, including targeted advertising.