Patent US6539392B1 successfully refreshed from Google Patents.
US6539392B1
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US
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System and method for data collection, evaluation, information generation, and presentation
Assignee: Bizrate Insights Inc
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Filing: 2000-03-29
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Granted: 2003-03-25
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Expires: 2020-03-29
Abstract
Abstract A system and method for data collection, evaluation, information generation and/or presentation. More particularly the system is for collecting, evaluating, generating and presenting data and/or information relating to electronic commerce. The system and methods include predictor modules that use recent historical data along with an estimated and/or available population function as the basis for a differential equation that defines the growth of the population to a saturation or maximum attainable level.
Inventors
- 👤 George J. Rebane
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-08 08:10
CPC Classifications
G; G06; G06Q; G06Q30/00; G06Q30/02; G06Q30/0201; G06Q30/0202; G06Q30/06; G06Q30/0601; Y; Y10; Y10S; Y10S707/00; Y10S707/912; Y10S707/922; Y10S707/953; Y10S707/959; Y10S707/964; Y10S707/966; Y10S707/99941; Y10S707/99942; Y10S707/99943
Claims Analysis
Total Claims: 22
Claim 1
Independent Claim
197 words
A system for forecasting population values comprising: one or more databases containing data for processing; a plurality of processing modules in communication with each other and/or the one or more databases, each processing module performing a predefined operation on data stored in a database or received from a processing module, at least one processing module being a saturation limited forecasting (“SLF”) module for forecasting the value of a population for a given time; one or more databases in communication with the SLF processing module for storing data that has been processed through the SLF processing module; a presentation server in communication with a database with the processed data for presenting selected items of data; wherein the SLF processing module uses available recent historical data along with an estimated and/or available saturation population function as the basis for a differential equation that defines the growth of a population to a maximum attainable level; and wherein the SLF module uses a pull function P 0 (t) which sets a population's saturation limit to growth and a penetration function r(t) which characterizes the total level of effort process, the SLF forecasting the value of a population for a given time.
Claim 2
Independent Claim
197 words
A system for forecasting population values comprising: one or more databases containing data for processing; a plurality of processing modules in communication with each other and/or the one or more databases, each processing module performing a predefined operation on data stored in a database or received from a processing module, at least one processing module being a saturation limited forecasting (“SLF”) module for forecasting the value of a population for a given time; one or more databases in communication with the SLF processing module for storing data that has been processed through the SLF processing module; a presentation server in communication with a database with the processed data for presenting selected items of data; wherein the SLF processing module uses available recent historical data along with an estimated and/or available saturation population function as the basis for a differential equation that defines the growth of a population to a maximum attainable level; and wherein the SLF module uses a pull function P 0 (t) which sets a population's saturation limit to growth and a penetration function r(t) which characterizes the total level of effort process, the SLF forecasting the value of a population for a given time.
Claim 3
Dependent Claim
49 words
The system of claim 1 wherein the SLF module uses a growth differential equation P t = r ( t ) [ P 0 ( t ) - P ( t ) ] to arrive at forecasted population value for a given time.
Claim 4
Dependent Claim
86 words
The system of claim 1 wherein the SLF module uses an equation c _ * = arg min c _ { ∑ i = 1 N ( P i - [ ∫ t 0 t F r ( c _ , t ) [ P 0 ( t ) - P ( t ) ] t ] t i ) 2 } to arrive at a forecasted population value for a given time.
Claim 5
Dependent Claim
78 words
A presentation server that includes files containing data or information relating to a forecasted e-commerce population, the data or information being derived from an SLF processing module; and wherein data input to the SLF processing module is processed using a pull function P 0 (t) which sets a population's saturation limit to growth and a penetration function r(t) which characterizes the total level of effort process, the SLF forecasting the value of a population for a given time.
Claim 6
Dependent Claim
78 words
A presentation server that includes files containing data or information relating to a forecasted e-commerce population, the data or information being derived from an SLF processing module; and wherein data input to the SLF processing module is processed using a pull function P 0 (t) which sets a population's saturation limit to growth and a penetration function r(t) which characterizes the total level of effort process, the SLF forecasting the value of a population for a given time.
Claim 7
Dependent Claim
50 words
The presentation servers of claim 4 wherein the SLF module uses a growth differential equation P t = r ( t ) [ P 0 ( t ) - P ( t ) ] to arrive at forecasted population value for a given time.
Claim 8
Dependent Claim
96 words
A presentation server that includes web pages containing data or information relating to a forecasted e-commerce population, the data or information being derived from an SLF processing module, the web pages being accessible to a plurality of remote consumer computer systems over a computer network; and wherein data input to the SLF processing module is processed using a pull function P 0 (t) which sets a population's saturation limit to growth and a penetration function r(t) which characterizes the total level of effort process, the SLF forecasting the value of a population for a given time.
Claim 9
Dependent Claim
96 words
A presentation server that includes web pages containing data or information relating to a forecasted e-commerce population, the data or information being derived from an SLF processing module, the web pages being accessible to a plurality of remote consumer computer systems over a computer network; and wherein data input to the SLF processing module is processed using a pull function P 0 (t) which sets a population's saturation limit to growth and a penetration function r(t) which characterizes the total level of effort process, the SLF forecasting the value of a population for a given time.
Claim 10
Dependent Claim
50 words
The presentation servers of claim 6 wherein the SLF module uses a growth differential equation P t = r ( t ) [ P 0 ( t ) - P ( t ) ] to arrive at forecasted population value for a given time.
Claim 11
Dependent Claim
109 words
A presentation server that includes files containing data or information relating to a forecasted commerce population, the data or information being derived from an SLF processing module; and wherein the SLF module uses an equation c _ * = arg min c _ { ∑ i = 1 N ( P i - [ ∫ t 0 t F r ( c _ , t ) [ P 0 ( t ) - P ( t ) ] t ] t i ) 2 } to arrive at a forecasted population value for a given time.
Claim 12
Dependent Claim
109 words
A presentation server that includes files containing data or information relating to a forecasted commerce population, the data or information being derived from an SLF processing module; and wherein the SLF module uses an equation c _ * = arg min c _ { ∑ i = 1 N ( P i - [ ∫ t 0 t F r ( c _ , t ) [ P 0 ( t ) - P ( t ) ] t ] t i ) 2 } to arrive at a forecasted population value for a given time.
Claim 13
Dependent Claim
127 words
A presentation server that includes web pages containing data or information relating to a forecasted e-commerce population, the data or information being derived from an SLF processing module, the web pages being accessible to a plurality of remote consumer computer systems over a computer network; and wherein the SLF module uses an equation c _ * = arg min c _ { ∑ i = 1 N ( P i - [ ∫ t 0 t F r ( c _ , t ) [ P 0 ( t ) - P ( t ) ] t ] t i ) 2 } to arrive at a forecasted population value for a given time.
Claim 14
Dependent Claim
127 words
A presentation server that includes web pages containing data or information relating to a forecasted e-commerce population, the data or information being derived from an SLF processing module, the web pages being accessible to a plurality of remote consumer computer systems over a computer network; and wherein the SLF module uses an equation c _ * = arg min c _ { ∑ i = 1 N ( P i - [ ∫ t 0 t F r ( c _ , t ) [ P 0 ( t ) - P ( t ) ] t ] t i ) 2 } to arrive at a forecasted population value for a given time.
Claim 15
Independent Claim
100 words
A method of presenting data or information relating to a forecasted e-commerce population, comprising providing a presentation server that includes files containing data or information relating to a forecasted e-commerce population, and making the web pages accessible to a plurality of remote consumer computer systems over a computer network; and wherein data input to the SLF processing module is processed using a pull function P 0 (t) which sets a population's saturation limit to growth and a penetration function r(t) which characterizes the total level of effort process, the SLF forecasting the value of a population for a given time.
Claim 16
Independent Claim
100 words
A method of presenting data or information relating to a forecasted e-commerce population, comprising providing a presentation server that includes files containing data or information relating to a forecasted e-commerce population, and making the web pages accessible to a plurality of remote consumer computer systems over a computer network; and wherein data input to the SLF processing module is processed using a pull function P 0 (t) which sets a population's saturation limit to growth and a penetration function r(t) which characterizes the total level of effort process, the SLF forecasting the value of a population for a given time.
Claim 17
Dependent Claim
50 words
The method of claim 10 wherein the SLF processing module uses a growth differential equation P t = r ( t ) [ P 0 ( t ) - P ( t ) ] to arrive at forecasted population value for a given time.
Claim 18
Dependent Claim
86 words
The method of claim 10 wherein the SLF module uses an equation c _ * = arg min c _ { ∑ i = 1 N ( P i - [ ∫ t 0 t F r ( c _ , t ) [ P 0 ( t ) - P ( t ) ] t ] t i ) 2 } to arrive at a forecasted population value for a given time.
Claim 19
Independent Claim
150 words
A method of presenting data or information relating to a forecasted ecommerce population, comprising providing a presentation server that includes flies containing data or information relating to a forecasted commerce population, and making the web pages accessible to a plurality of remote consumer computer systems over a computer network; wherein the method further comprises capturing data in a data capture server and then transferring captured data for input into the SLF processing module; wherein the data is captured from survey questionnaires; wherein the survey questionnaires are completed by consumers and delivered to a data capture server over the Internet; and wherein data input to the SLF processing module is processes using a pull function P 0 (t) which sets a population's saturation limit to growth and a penetration function r(t) which characterizes the total level of effort process, the SLF forecasting the value of a population for a given time.
Claim 20
Independent Claim
150 words
A method of presenting data or information relating to a forecasted ecommerce population, comprising providing a presentation server that includes flies containing data or information relating to a forecasted commerce population, and making the web pages accessible to a plurality of remote consumer computer systems over a computer network; wherein the method further comprises capturing data in a data capture server and then transferring captured data for input into the SLF processing module; wherein the data is captured from survey questionnaires; wherein the survey questionnaires are completed by consumers and delivered to a data capture server over the Internet; and wherein data input to the SLF processing module is processes using a pull function P 0 (t) which sets a population's saturation limit to growth and a penetration function r(t) which characterizes the total level of effort process, the SLF forecasting the value of a population for a given time.
Claim 21
Dependent Claim
50 words
The method of claim 13 wherein the SLF processing module uses a growth differential equation P t = r ( t ) [ P 0 ( t ) - P ( t ) ] to arrive at forecasted population value for a given time.
Claim 22
Dependent Claim
86 words
The method of claim 13 wherein the SLF module uses an equation c _ * = arg min c _ { ∑ i = 1 N ( P i - [ ∫ t 0 t F r ( c _ , t ) [ P 0 ( t ) - P ( t ) ] t ] t i ) 2 } to arrive at a forecasted population value for a given time.
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USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2006-03-24 | 2006-09-23 | 2007-03-25 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2010-03-24 | 2010-09-23 | 2011-03-25 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2014-03-24 | 2014-09-23 | 2015-03-25 | $7700.00 | Window Closed / Lapsed |