Abstract: A method of creating new content based on previously experienced content and content ratings, in which content attributes are obtained and analyzed against set-top box events collected as the content is experienced. Analysis includes determining effects of various content attributes on content ratings, content attribute order on content ratings, and determining a preferred content attribute set and content attribute presentation order. Also taught is a system and method of predicting future events given a proposed dataset, in which past events are monitored and correlated with a proposed dataset sharing at least one attribute with, and having a substantially similar structure to, the past events, and the results of the correlation are reported as a prediction of future events.

Abstract: A system and method for dynamically determining the demographic identity of an individual operating a set-top box, is disclosed which may include monitoring set top-box events for a plurality of set-top boxes, correlating set-top box events with demographic characteristics, applying with a computer inverse demographic matrix calculation techniques to determine probabilities for demographic characteristic and set-top box event dataset correlations without knowing individual-specific demographic information pertaining to the set-top box event dataset, ascribing demographic characteristic probabilities to each set-top box over time based on observed set-top box events and their relationship to such inverse demographic matrix probabilities, evaluating such ascribed demographic characteristic probabilities over time through statistical analysis, fining probabilities ascribed to demographic characteristics to statistically determine the most likely set of constant dataset possibilities for each set-top box, and fit

Abstract: The invention concerns a computerized method of invalidating set-top box events. The method may include monitoring set-top box events, storing the set-top box events in a first array, calculating a first trend in the first array of set-top box events, invalidating the set-top box events which are one or more statistical outliers from the first trend, storing the invalidated set-top box events in a second array, and calculating a second trend in the second array of invaidated set-top box events, wherein invalidated set-top box events are revalidated and new set-top box event categories to be ignored are identified based on the second trend.

Abstract: A system and method for using inverse mathematical principles in the analysis of compatible datasets so that correlations and trends within and between said datasets can be uncovered. The present invention is tailored to the analysis of datasets that are extremely large; result from passive, privacy-secure, or anonymous, data collection; and are relatively unbiased. Correlations and trends uncovered by such analysis can be further examined by data mining and prediction portions of the present invention, which uncover and make use of interrelated rules that determine data structures. An embodiment directed toward analysis of television viewership and marketing data that does this while still respecting privacy concerns is disclosed.

Abstract: The invention concerns a method of determining the effect of content attributes on content ratings. The method may include obtaining content attributes, recording set-top box events as content is experienced without knowing individual-specific demographic information, correlating set-top box events to content attributes, and analyzing the correlations of set-top box events to content attributes over time to estimate the effect of content attributes on content ratings.

Abstract: An individually targeted content delivery system and methods which allows content to be delivered to at least one set top box while preserving the privacy of the set top box users. The system and methods of the present invention determine one or more user models for a set top box based on user interactions with the set top box and content to be displayed on the set top box is selected based on the user model. The present invention also allows a set top box to determine when content has been experienced by a set top box user, and to require a set top box user to experience at least one pre-defined content before other content can be viewed.

Abstract: A system and method for using inverse mathematical principles in the analysis of compatible datasets so that correlations and trends within and between said datasets can be uncovered. The present invention is tailored to the analysis of datasets that are extremely large; result from passive, privacy-secure, or anonymous, data collections; and are relatively unbiased. Correlations and trends uncovered by such analysis can be further examined by data mining and prediction portions of the present invention, which uncover and make use of interrelated rules that determine data structures.

Abstract: A system and method for using inverse mathematical principles in the analysis of compatible datasets so that correlations and trends within and between said datasets can be uncovered. The present invention is tailored to the analysis of datasets that are extremely large; result from passive, privacy-secure, or anonymous, data collection; and are relatively unbiased. Correlations and trends uncovered by such analysis can be further examined by data mining and prediction portions of the present invention, which uncover and make use of interrelated rules that determine data structures. An embodiment directed toward analysis of television viewership and marketing data that does this while still respecting privacy concerns is disclosed. In a preferred embodiment, a satellite, internet, cable, or other content provider can provide a viewer with a set-top box which may be specially instrumented to allow monitoring, recording, and transmission of set-top box events.

Abstract: A system and method for using inverse mathematical principles in the analysis of compatible datasets so that correlations and trends within and between said datasets can be uncovered. The present invention is tailored to the analysis of datasets that are extremely large; result from passive, privacy-secure, or anonymous, data collection; and are relatively unbiased. Correlations and trends uncovered by such analysis can be further examined by data mining and prediction portions of the present invention, which uncover and make use of interrelated rules that determine data structures. An embodiment directed toward analysis of television viewership and marketing data that does this while still respecting privacy concerns is disclosed. In a preferred embodiment, a satellite, internet, cable, or other content provider can provide a viewer with a set-top box which may be specially instrumented to allow monitoring, recording, and transmission of set-top box events.

Abstract: A system and method for using inverse mathematical principles in the analysis of compatible datasets so that correlations and trends within and between said datasets can be uncovered. The present invention is tailored to the analysis of datasets that are extremely large; result from passive, privacy-secure, or anonymous, data collection; and are relatively unbiased. Correlations and trends uncovered by such analysis can be further examined by data mining and prediction portions of the present invention, which uncover and make use of interrelated rules that determine data structures. An embodiment directed toward analysis of television viewership and marketing data that does this while still respecting privacy concerns is disclosed. In a preferred embodiment, a satellite, internet, cable, or other content provider can provide a viewer with a set-top box which may be specially instrumented to allow monitoring, recording, and transmission of set-top box events.

Abstract: A system and method for using inverse mathematical principles in the analysis of compatible datasets so that correlations and trends within and between said datasets can be uncovered. The present invention is tailored to the analysis of datasets that are extremely large; result from passive, privacy-secure, or anonymous, data collection; and are relatively unbiased. Correlations and trends uncovered by such analysis can be further examined by data mining and prediction portions of the present invention, which uncover and make use of interrelated rules that determine data structures. An embodiment directed toward analysis of television viewership and marketing data that does this while still respecting privacy concerns is disclosed. In a preferred embodiment, a satellite, internet, cable, or other content provider can provide a viewer with a set-top box which may be specially instrumented to allow monitoring, recording, and transmission of set-top box events.

Abstract: A method of creating new content based on previously experienced content and content ratings, in which content attributes are obtained and analyzed against set-top box events collected as the content is experienced. Analysis includes determining effects of various content attributes on content ratings, content attribute order on content ratings, and determining a preferred content attribute set and content attribute presentation order. Also taught is a system and method of predicting future events given a proposed dataset, in which past events are monitored and correlated with a proposed dataset sharing at least one attribute with, and having a substantially similar structure to, the past events, and the results of the correlation are reported as a prediction of future events.

Abstract: An individually targeted content delivery system and methods which allows content to be delivered to at least one set top box while preserving the privacy of the set top box users. The system and methods of the present invention determine one or more user models for a set top box based on user interactions with the set top box and content to be displayed on the set top box is selected based on the user model. The present invention also allows a set top box to determine when content has been experienced by a set top box user, and to require a set top box user to experience at least one pre-defined content before other content can be viewed.

Abstract: A system and method for using inverse mathematical principles in the analysis of compatible datasets so that correlations and trends within and between said datasets can be uncovered. The present invention is tailored to the analysis of datasets that are extremely large; result from passive, privacy-secure, or anonymous, data collection; and are relatively unbiased. Correlations and trends uncovered by such analysis can be further examined by data mining and prediction portions of the present invention, which uncover and make use of interrelated rules that determine data structures. An embodiment directed toward analysis of television viewership and marketing data that does this while still respecting privacy concerns is disclosed. In a preferred embodiment, a satellite, internet, cable, or other content provider can provide a viewer with a set-top box which may be specially instrumented to allow monitoring, recording, and transmission of set-top box events.