System identification, estimation, and prediction of advertising-related data
First Claim
1. A computer-implemented method for analyzing online advertisement-related data, the method comprising:
- modeling an aspect of an online advertisement with a mathematical model, wherein the mathematical model comprises a control-signal-related component, and a control-signal-independent, time-based periodic component;
receiving data related to the aspect of the online advertisement;
updating each component of the mathematical model based on at least one of a control signal related to the received data, the received data, and a previous state of at least one of the components, to create an updated model of the aspect of the online advertisement; and
predicting a future state of the aspect of the online advertisement using the updated model.
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Abstract
In accordance with the invention, a system, method, and apparatus for analyzing advertisement-related data are presented, which may include receiving data related to an aspect of an advertisement and modeling the aspect of the advertisement with a mathematical model. The mathematical model may include a control-signal-related component, a control-signal-independent component, and an error component. Each component may be updated based on at least one of a control signal, the received data, and a previous state of at least one of the components. An updated model may be created based on the updated components. The system, method, and apparatus may also include predicting the aspect of the advertisement using the updated model. Exemplary aspects of and data related to the advertisement may include one or more of the following: a number of impressions, “clicks,” or “conversions” and/or the impression-to-conversion, impression-to-click, or click-to-conversion ratios.
125 Citations
55 Claims
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1. A computer-implemented method for analyzing online advertisement-related data, the method comprising:
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modeling an aspect of an online advertisement with a mathematical model, wherein the mathematical model comprises a control-signal-related component, and a control-signal-independent, time-based periodic component; receiving data related to the aspect of the online advertisement; updating each component of the mathematical model based on at least one of a control signal related to the received data, the received data, and a previous state of at least one of the components, to create an updated model of the aspect of the online advertisement; and predicting a future state of the aspect of the online advertisement using the updated model. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27)
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28. A computer-implemented method for analyzing online advertisement-related data, the method comprising:
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receiving data related to an aspect of an online advertisement; modeling the aspect of the online advertisement with a mathematical model, comprising a control-signal-related component and a control-signal-independent, time-based periodic component; updating the control-signal-related component of the mathematical model based on at least one of a control signal related to the received data, the received data, and a previous state of the control-signal-related component; updating the control-signal-independent, time-based periodic component of the mathematical model based on at least one of the received data and a previous state of the control-signal-independent, time-based periodic component; generating an updated model of the aspect of the online advertisement based on the updated control-signal-related component and the updated control-signal-independent, time-based periodic component; and predicting a future state of the aspect of the online advertisement using the updated model. - View Dependent Claims (29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41)
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42. A system for analyzing online advertisement-related data, the system comprising:
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a plant estimation module that; receives data related to an aspect of an online advertisement; models the aspect of the online advertisement with a mathematical model, wherein the mathematical model comprises a control-signal-related component, and a control-signal-independent, time-based periodic component; and updates each component of the mathematical model based on at least one of a control signal related to the received data, the received data, and a previous state of at least one of the components, to create an updated model; and a control module that predicts a future state of the aspect of the online advertisement using the updated model. - View Dependent Claims (54)
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43. A system for analyzing online advertisement-related data, the system comprising:
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a plant estimation module that; receives data related to an aspect of an online advertisement; models the aspect of the online advertisement with a mathematical model, comprising a control-signal-related component and a control-signal-independent, time-based periodic component; updates the control-signal-related component of the mathematical model based on at least one of a control signal related to the received data, the received data, and a previous state of the control-signal-related component; updates the control-signal-independent, time-based periodic component of the mathematical model based on at least one of the received data and a previous state of the control-signal-independent, time-based periodic component; and generates an updated model of the aspect of the online advertisement based on the updated control-signal-related component and the updated control-signal-independent, time-based periodic component; and a control module that predicts a future state of the aspect of the online advertisement using the updated model. - View Dependent Claims (55)
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44. A computer-implemented method for analyzing online advertisement-related data, the method comprising:
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receiving data related to an aspect of an online advertisement; modeling the aspect of the online advertisement with a mathematical model, wherein the mathematical model comprises a control-signal-related component, and a control-signal-independent, time-based periodic component; updating each component of the mathematical model based on at least one of a control signal, the received data, and a previous state of at least one of the components, to create an updated model; and predicting a future state of the aspect of the online advertisement using the updated model, wherein the received data comprises a probability that an impression of the online advertisement will result in a conversion.
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45. A computer-implemented method for analyzing online advertisement-related data, the method comprising:
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receiving data related to an aspect of an online advertisement; modeling the aspect of the online advertisement with a mathematical model, wherein the mathematical model comprises a control-signal-related component, and a control-signal-independent, time-based periodic component; updating each component of the mathematical model based on at least one of a control signal, the received data, and a previous state of at least one of the components, to create an updated model; and predicting a future state of the aspect of the online advertisement using the updated model, wherein the received data comprises a probability that a selection of the online advertisement by a user will result in a conversion.
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46. A computer-implemented method for analyzing online advertisement-related data, the method comprising:
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modeling an aspect of an online advertisement with a mathematical model, wherein the mathematical model comprises a control-signal-related component, and a control-signal-independent, time-based periodic component; receiving data related to the aspect of the online advertisement; predicting a future state of the aspect of the online advertisement, based on the mathematical model and the received data; and allocating advertising space among available online advertisements based on the predicted future state of the aspect of the online advertisement. - View Dependent Claims (47, 48, 49)
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50. A computer-implemented method for analyzing online advertisement-related data, the method comprising:
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modeling an aspect of an online advertisement with a mathematical model, wherein the mathematical model comprises a control-signal-related component, and a control-signal-independent, time-based periodic component; receiving data related to the aspect of the online advertisement; predicting a future level of the aspect of the online advertisement, based on the mathematical model and the received data; and choosing a control signal value based on a desired level for the aspect and the predicted future level of the aspect. - View Dependent Claims (51, 52, 53)
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Specification