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US7383243B2 Expired / Lapsed US ⏱️ 0.0 years remaining

Systems and methods for creating and evaluating content and predicting responses to content

Assignee: Apple Inc
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Filing: 2002-06-05
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Granted: 2008-06-03
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Expires: 2022-06-05
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Abstract

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. The invention further includes a method of predicting behaviors of non-sampled demographic specifications based on sampled demographic specifications of a given level, in which past behavior is monitored and correlated with demographic characteristics.

Inventors

  • 👤 G. Colby Conkwright
  • 👤 Frank S. Foster, IV
  • 👤 Michael J. Vinson

Bibliographic Details

Application Number —
Jurisdiction US
Data Source google_patents
Last Synchronized 2026-10-28 16:06
CPC Classifications
G; G06; G06Q; G06Q30/00; G06Q30/02; G06Q30/0201; G06Q30/0204; G06Q30/0205; G06Q30/0241; G06Q30/0242; G06Q30/0251; G06Q30/0254; G06Q30/0255; G06Q30/0269; G06Q30/0273; G06Q30/0277; G06Q40/00; Y; Y10; Y10S; Y10S707/00; Y10S707/99931

Claims Analysis

Total Claims: 18
Claim 1
Independent Claim 90 words
A system for predicting future events based on a proposed dataset, consisting of: a dataset of past events, wherein the dataset of past events includes set-top box event data that is collected without knowing individual-specific demographic information; a known dataset sharing at least one attribute with the dataset of past events, and with substantially similar attributes to the proposed dataset; a means of correlating the dataset of past events with the known dataset to form a new dataset; and, a means of correlating the new dataset to the proposed dataset.
Claim 2
Independent Claim 90 words
A system for predicting future events based on a proposed dataset, consisting of: a dataset of past events, wherein the dataset of past events includes set-top box event data that is collected without knowing individual-specific demographic information; a known dataset sharing at least one attribute with the dataset of past events, and with substantially similar attributes to the proposed dataset; a means of correlating the dataset of past events with the known dataset to form a new dataset; and, a means of correlating the new dataset to the proposed dataset.
Claim 3
Dependent Claim 18 words
The system of claim 1 , wherein the known dataset of includes content attributes and content presentation data.
Claim 4
Dependent Claim 20 words
The system of claim 2 , wherein the proposed dataset of includes a set of content attributes for proposed content.
Claim 5
Independent Claim 118 words
A system of predicting future events for a given demographic segment, comprising: a dataset of past events, wherein the dataset of past events includes set-top box event data that is collected without knowing individual-specific demographic information; a demographic dataset sharing at least one attribute with the dataset of past events; a means of correlating the dataset of past events with the demographic dataset and storing the result in an array; a known dataset sharing at least one attribute with the demographic dataset, and with substantially similar attributes to the proposed dataset; a means of correlating the array with the known dataset to form a new dataset; and, a means of correlating the new dataset to a proposed dataset.
Claim 6
Independent Claim 118 words
A system of predicting future events for a given demographic segment, comprising: a dataset of past events, wherein the dataset of past events includes set-top box event data that is collected without knowing individual-specific demographic information; a demographic dataset sharing at least one attribute with the dataset of past events; a means of correlating the dataset of past events with the demographic dataset and storing the result in an array; a known dataset sharing at least one attribute with the demographic dataset, and with substantially similar attributes to the proposed dataset; a means of correlating the array with the known dataset to form a new dataset; and, a means of correlating the new dataset to a proposed dataset.
Claim 7
Dependent Claim 27 words
The system of claim 4 , wherein the demographic dataset shares at least one of a zip code and other geographic identifier with the set-top box data.
Claim 8
Dependent Claim 25 words
The system of claim 4 , wherein the known dataset shares at least one of a zip code or other geographic identifier with the array.
Claim 9
Dependent Claim 19 words
The system of claim 4 , wherein the proposed dataset comprised of includes proposed content and attributes corresponding thereto.
Claim 10
Independent Claim 137 words
A system of predicting future events for a given demographic segment, comprising: a dataset of past set-top box events, collected manner without knowing individual-specific demographic information; a demographic dataset sharing at least one attribute with the dataset of past set-top box events, such as a zip code or other geographic identifier; a means of correlating the dataset of past events with the demographic dataset and storing the result in an array; a known dataset sharing at least one attribute, such as a zip code or other geographic identifier, with the demographic dataset and with substantially similar attributes to the proposed dataset; a means of correlating the array with the known dataset to form a new dataset; and, a means of correlating the new dataset with a proposed dataset comprised of includes proposed content and attributes corresponding thereto.
Claim 11
Independent Claim 137 words
A system of predicting future events for a given demographic segment, comprising: a dataset of past set-top box events, collected manner without knowing individual-specific demographic information; a demographic dataset sharing at least one attribute with the dataset of past set-top box events, such as a zip code or other geographic identifier; a means of correlating the dataset of past events with the demographic dataset and storing the result in an array; a known dataset sharing at least one attribute, such as a zip code or other geographic identifier, with the demographic dataset and with substantially similar attributes to the proposed dataset; a means of correlating the array with the known dataset to form a new dataset; and, a means of correlating the new dataset with a proposed dataset comprised of includes proposed content and attributes corresponding thereto.
Claim 12
Independent Claim 109 words
A method of predicting future events for a given demographic based on a proposed dataset, comprising: monitoring past events, wherein the dataset of past events includes set-top box events that are monitored without knowing individual-specific demographic information; correlating the past events with a demographic dataset and storing the result in an array; correlating the array with a dataset sharing at least one attribute with the array, and with a substantially similar structure to the proposed dataset, the results of such correlations ere being stored in an additional dataset; correlating the additional dataset with the proposed dataset; and reporting the results of such correlations as a prediction of future events.
Claim 13
Independent Claim 109 words
A method of predicting future events for a given demographic based on a proposed dataset, comprising: monitoring past events, wherein the dataset of past events includes set-top box events that are monitored without knowing individual-specific demographic information; correlating the past events with a demographic dataset and storing the result in an array; correlating the array with a dataset sharing at least one attribute with the array, and with a substantially similar structure to the proposed dataset, the results of such correlations ere being stored in an additional dataset; correlating the additional dataset with the proposed dataset; and reporting the results of such correlations as a prediction of future events.
Claim 14
Dependent Claim 21 words
The method of claim 9 , which wherein the demographic dataset and the set-top box event dataset contain zip code attributes.
Claim 15
Dependent Claim 14 words
The method of claim 9 , wherein the proposed dataset includes proposed content attributes.
Claim 16
Dependent Claim 23 words
The method of claim 9 , wherein the past events include attributes of any content being experienced at the time of an event.
Claim 17
Independent Claim 138 words
A method of predicting future events for a given demographic based on a proposed dataset, comprising: monitoring past events, including set-top box events, a zip code associated with a set-top box, and attributes of content presented by the set-top box at the time the event occurs, manner without knowing individual-specific demographic information; correlating the past events with a demographic dataset which includes at least one zip code, and storing the result in an array; correlating the array with a dataset sharing at least one attribute with the array, and with a substantially similar structure to the proposed dataset, the results of such correlations ere being stored in an additional dataset; correlating the additional dataset with a proposed dataset, comprised of that includes proposed content attributes; and reporting the results of such correlations as a prediction of future events.
Claim 18
Independent Claim 138 words
A method of predicting future events for a given demographic based on a proposed dataset, comprising: monitoring past events, including set-top box events, a zip code associated with a set-top box, and attributes of content presented by the set-top box at the time the event occurs, manner without knowing individual-specific demographic information; correlating the past events with a demographic dataset which includes at least one zip code, and storing the result in an array; correlating the array with a dataset sharing at least one attribute with the array, and with a substantially similar structure to the proposed dataset, the results of such correlations ere being stored in an additional dataset; correlating the additional dataset with a proposed dataset, comprised of that includes proposed content attributes; and reporting the results of such correlations as a prediction of future events.

USPTO Annuity & Maintenance Windows

Annuity Stage Window Opens Payment Deadline Surcharge Period Until Estimated Fee Status
3.5 Years (Year 4) 2011-06-03 2011-12-03 2012-06-03 $2000.00 Window Closed / Lapsed
7.5 Years (Year 8) 2015-06-03 2015-12-03 2016-06-03 $3760.00 Window Closed / Lapsed
11.5 Years (Year 12) 2019-06-03 2019-12-03 2020-06-03 $7700.00 Window Closed / Lapsed

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