Abstract: A method and system for audience segmentation is described, the method and system including preparing a plurality of guidebooks of prior probability distributions for content items and user profile attributes, the prior probabilities and user profile attributes being extractable from within audience measurement data, receiving raw audience measurement data, analyzing, at a processor, the received raw audience measurement data using the prepared plurality of guidebooks, generating a plurality of clusters of data per user household as a result of the analyzing, correlating viewing activity to each cluster within an identified household, predicting a profile of a viewer corresponding to each cluster within the identified household, applying classifier rules in order to assign viewing preference tags to each predicted profile, and assigning each predicted profile viewing preferences based on the viewing preference tags assigned to that profile Related systems, methods, and apparatus are also described.

Abstract: A method of detecting periodic activity patterns associated with the viewing of audio video content is described. The method includes: recording activity data in an activity log; suppressing the activity log one or more times to suppress non-relevant activity data thereby producing one or more sets of suppressed activity data; passing the one or more sets of suppressed activity data through a signal processing function to convert the one or more sets of suppressed activity data to one or more frequency responses; and analyzing the one or more frequency responses to detect the periodic activity patterns. Related apparatus and methods are also described.

Abstract: A content viewing estimation system including a module to receive a time measurement of how long at least part of a content item was rendered by an end-user rendering unit and outputted for display to an audio-visual outputting arrangement during a time window, a module to determine user interaction with the end-user rendering unit and/or the audio-visual outputting arrangement, a module to calculate an average content item duration of a plurality of content items rendered by the end-user rendering unit during the time window, and a module to estimate viewing by the user of the at least part content item such that if user interaction was not determined during the time window then time attributed to the viewing of the at least part content item is set to the minimum of a capping limit, the time measurement, and the average content item duration. Related apparatus and methods are also described.

Abstract: An end-user rendering system including an advertisement database to receive advertisements, and store the advertisements therein, a state database to store information, a decision model optimization module to receive a tree-type decision model and optimize the tree-type decision model based on at least some of the information stored in the state database, an advertisement decision module to evaluate the optimized tree-type decision model and select an advertising campaign, the selected advertising campaign having at least one advertisement, and a rendering module to render the at least one advertisement of the selected advertising campaign. Related apparatus and methods are also described.

Abstract: A content viewing estimation system including a module to receive a time measurement of how long at least part of a content item was rendered by an end-user rendering unit and outputted for display to an audio-visual outputting arrangement during a time window, a module to determine user interaction with the end-user rendering unit and/or the audio-visual outputting arrangement, a module to calculate an average content item duration of a plurality of content items rendered by the end-user rendering unit during the time window, and a module to estimate viewing by the user of the at least part content item such that if user interaction was not determined during the time window then time attributed to the viewing of the at least part content item is set to the minimum of a capping limit, the time measurement, and the average content item duration. Related apparatus and methods are also described.

Abstract: A method of detecting periodic activity patterns associated with the viewing of audio video content is described. The method includes: recording activity data in an activity log; suppressing the activity log one or more times to suppress non-relevant activity data thereby producing one or more sets of suppressed activity data; passing the one or more sets of suppressed activity data through a signal processing function to convert the one or more sets of suppressed activity data to one or more frequency responses; and analysing the one or more frequency responses to detect the periodic activity patterns. Related apparatus and methods are also described.

Abstract: An end-user rendering system including an advertisement database to receive advertisements, and store the advertisements therein, a state database to store information, a decision model optimization module to receive a tree-type decision model and optimize the tree-type decision model based on at least some of the information stored in the state database, an advertisement decision module to evaluate the optimized tree-type decision model and select an advertising campaign, the selected advertising campaign having at least one advertisement, and a rendering module to render the at least one advertisement of the selected advertising campaign. Related apparatus and methods are also described.