System and method for data collection, evaluation, information generation, and presentation

• US 7,013,285 B1
• Filed: 03/29/2000
• Issued: 03/14/2006
• Est. Priority Date: 03/29/2000
• Status: Expired due to Term

• Current Assignee: Bizrate Insights, Inc. (IAC, Inc.)
• Original Assignee: Shopzilla Incorporated
• Inventors: Rebane, George J.
• Primary Examiner(s): Hafiz, Tariq R.
• Assistant Examiner(s): BOYCE, ANDRE D
• Application Number:
  US09/538,570
• Time in Patent Office: 2,176 Days
• Field of Search: 705/7, 705/10
• US Class Current: 705/7.31
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls
• CPC Class Codes: Y10S 707/99931 Database or file accessing

Abstract

The present invention relates to a system and method for data collection, evaluation, information generation and/or presentation. More particularly the present invention relates to a system for collecting, evaluating, and presenting data relating to electronic commerce. The system and methods of the present invention include one or more of the following: a module for stabilizing small or noisy samples of data, including the prediction of missing observations; alarm modules that alert an event handler when data values and/or rates cross specified thresholds; 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; and a dynamic icon that conveys to users of a system levels of predefined and/or observed activity occurring on the system.

Claims

1. A system, comprising:

a plurality of processing modules configured for performing a predefined set of operations on data received from a data source, at least two processing modules being selected from the group consisting of;

a data stabilizer processing module for smoothing noisy or variable data using a computational solution of a minimum variance Bayesian estimation method;

a saturation limited forecasting module (SLF) for using available historical or recently captured data along with an estimated and/or available saturation population function as the basis for an algorithm that defines the growth of the population to a maximum attainable level;

a dynamic activity-level icon module for iconically indicating to the user of a remote computer system relative levels of activity at network sites for different merchants offering competitive goods or services; and

an alarm filter module for monitoring data rates and sending a signal based on deviations from desired thresholds from a normative rate;

wherein at least one of the at least two selected processing modules is the data stabilizer processing module or the saturation limited forecasting module;

wherein the SLF module uses a pull function P₀(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; and

wherein the system is configured for presenting selected items of data following the sequential processing of data by the at least two selected processing modules; and

wherein the system is adapted to receive and process data related to an online e-commerce transaction.

2. The system of claim 1 wherein the data source comprises one or more remote computer systems.

3. The system of claim 1 wherein at least three of said processing modules are selected and the system is configured for presenting selected items of data following the sequential processing of data by the at least three selected processing modules.

4. The system of claim 1 wherein four of the processing modules are selected and the system is configured for presenting selected items of data following the sequential processing of data by the at least four selected processing modules.

5. The system of claim 1 wherein at least three of said processing modules are selected.

6. The system of claim 1 wherein one selected processing module comprises a data stabilizer processing module and one selected processing module comprises an alarm filter module.

7. The system of claim 1 wherein one selected processing module comprises a data stabilizer processing module and one selected processing module comprises a dynamic activity-level icon module.

8. The system of claim 1 wherein one selected processing module comprises a data stabilizer processing module and one selected processing module comprises a saturation limit forecasting module.

9. The system of claim 1 wherein the at least one of the at least two selected processing modules is the data stabilizer processing module.

10. The system of claim 1 wherein the at least one of the at least two selected processing modules is the saturation limited forecasting module.

11. A system, comprising:

a plurality of processing modules configured for performing a predefined set of operations on data relating to e-commerce transaction received from a first plurality of remote computer systems, at least two processing modules being selected from the group consisting of;

a data stabilizer processing module for smoothing noisy or variable data using a computational solution of a minimum variance Bayesian estimation method;

a saturation limited forecasting (SLF) module for using available historical or recently captured data along with an estimated and/or available saturation population function as the basis for an algorithm that defines the growth of the population to a maximum attainable level;

a dynamic activity-level icon module for iconically indicating to the user of a remote computer system a level of activity at each of a plurality of merchant network sites, the dynamic activity-level icon module automatically causing the indication of activity to be sent to the remote computer system upon user access to an electronic page comprising a listing of a plurality of merchants; and

an alarm filter module for monitoring data rates and sending a signal based on deviations from desired thresholds from a normative rate;

wherein at least one of the at least two selected processing modules is the data stabilizer processing module or the saturation limited forecasting module;

wherein the SLF module uses a pull function P₀(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; and

wherein the system is configured to present to a second plurality of remote computer systems via a computer network a set of items or data generated from the sequential processing of the data by the at least two processing modules.

12. The system of claim 11 wherein the system is configured to receive e-commerce data over the Internet.

13. The system of claim 12 wherein the data generated by the processing modules is presented over the Internet to a second plurality of remote computer systems comprising consumer computer systems.

14. The system of claim 13 wherein the second plurality of remote computer systems comprise one or more merchant computer systems.

15. The system of claim 13 wherein the second plurality of remote computer systems comprise a plurality of consumer computer systems.

16. The system of claim 15 wherein at least three of the processing modules are selected for sequential processing of the data.

17. The system of claim 15 further comprising a dynamic activity-level icon processing module.

18. The system of claim 13 wherein the system is configured to present the processed data to a plurality of merchant and consumer computer systems.

19. The system of claim 18 wherein one selected processing module comprises a data stabilizer processing module and one selected processing module comprises an alarm filter module.

20. The system of claim 18 wherein one selected processing module comprises a data stabilizer processing module and one selected processing module comprises a dynamic activity-level icon module.

21. The system of claim 20 further comprising an alarm filter processing module.

22. The system of claim 18 wherein one selected processing module comprises a data stabilizer processing module and one selected processing module comprises a saturation limit forecasting module.

23. The system of claim 13 wherein the presented data comprises ratings for online merchants, the ratings being based on data received from the first plurality of remote computer systems, wherein the first plurality comprises consumer computer systems.

24. The system of claim 12 wherein the system is configured toto serve a survey questionnaires to first plurality of remote computer systems, the system being configured to receive data supplied in response to a survey and to process the data using the selected processing modules.

25. The system of claim 11 wherein the at least one of the at least two selected processing modules is the data stabilizer processing module.

26. The system of claim 11 wherein the at least one of the at least two selected processing modules is the saturation limited forecasting module.

27. A computer implemented method, comprising:

capturing data from a first plurality of remote computers systems over the Internet;

performing a predefined set of operations on data received from the first plurality of computer systems at least two processing modules being selected from the group consisting of;

a data stabilizer processing module for smoothing noisy or variable data using a computational solution of a minimum variance Bayesian estimation method;

a saturation limited forecasting (SLF) module for using available historical or recently captured data along with an estimated and/or available saturation population function as the basis for an algorithm that defines the growth of the population to a maximum attainable level;

a dynamic activity-level icon module for iconically indicating to the user of a remote computer system a level of activity at each of a plurality of merchant network sites, the module automatically causing the indication of activity to be sent to the remote computer system upon user access to an electronic page comprising a listing of a plurality of merchants; and

an alarm filter module for monitoring data rates and sending a signal based on deviations from desired thresholds from a normative rate, the one or more processing modules outputting processed data or information; and

presenting selected items of processed data or information following the sequential processing of the data using the at least two processing modules,

wherein at least one of the at least two selected processing modules is the data stabilizer processing module or the saturation limited forecasting module,

wherein the SLF module uses a Dull function P₀(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, and

wherein the captured data relates to e-commerce transactions.

28. The method of claim 27 wherein the e-commerce transactions comprise consumer-merchant transactions.

29. The method of claim 28 wherein at least three of said processing modules are selected.

30. The method of claim 28 further comprising serving a survey questionnaire to the first plurality of remote computer systems, and, and capturing completed survey data for use in the selected processing modules.

31. The method of claim 30 wherein the first plurality of computer systems comprise a plurality of consumer computer systems and the survey data relates to an online transaction between a consumer and a merchant.

32. The method of claim 28 wherein the first plurality of computer systems comprise one or more merchant computer systems.

33. The method of claim 27 wherein the e-commerce transactions comprise business to business transactions.

34. The method of claim 27 wherein at least three of said processing modules are selected.

35. The method of claim 27 wherein four of the processing modules are selected.

36. The method of claim 27 wherein the processed data is presented to a plurality of merchant computer systems.

37. The method of claim 27 wherein the processed data is presented to a plurality of consumer computer systems.

38. The method of claim 37 wherein the data comprises ratings for online merchants.

39. The system of claim 27 wherein the at least one of the at least two selected processing modules is the data stabilizer processing module.

40. The system of claim 27 wherein the at least one of the at least two selected processing modules is the saturation limited forecasting module.

41. A presentation server that includes web pages containing data or information that has been derived from at least two processing modules selected from the group consisting of:

a data stabilizer processing module for smoothing noisy or variable data using a computational solution of a minimum variance Bayesian estimation method;

a saturation limited forecasting (SLF) module for using available historical or recently captured data along with an estimated and/or available saturation population function as the basis for an algorithm that defines the growth of the population to a maximum attainable level;

a dynamic activity-level icon module for iconically indicating to the user of a remote computer system a level of activity at each of a plurality of merchant network sites, the module automatically causing the indication of activity to be sent to the remote computer system upon user access to an electronic page comprising a listing of a plurality of merchants; and

an alarm filter module for monitoring data rates and sending a signal based on deviations from desired thresholds from a normative rate,

the web pages being accessible to a plurality of remote merchant systems over a computer network,

wherein at least one of the at least two selected processing modules is the data stabilizer processing module or the saturation limited forecasting module,

and wherein the SLF module uses a Dull function P₀(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.

42. The presentation server of claim 41 wherein the network comprises the Internet.

43. The presentation server of claim 42 wherein the web pages include evaluation information about merchant performance, the information being derived from data processed by a selected processing module.

44. The system of claim 41 wherein the at least one of the at least two selected processing modules is the data stabilizer processing module.

45. The system of claim 41 wherein the at least one of the at least two selected processing modules is the saturation limited forecasting module.

46. A presentation server that includes web pages containing data or information that has been derived from at least two processing modules selected from the group consisting of:

a data stabilizer processing module for smoothing noisy or variable data using a computational solution of a minimum variance Bayesian estimation method;

a saturation limited forecasting (SLF) module for using available historical or recently captured data along with an estimated and/or available saturation population function as the basis for an algorithm that defines the growth of the population to a maximum attainable level;

a dynamic activity-level icon module for iconically indicating to the user of a remote computer system a level of activity at each of a plurality of merchant network sites, the module automatically causing the indication of activity to be sent to the remote computer system upon user access to an electronic page comprising a listing of a plurality of merchants; and

an alarm filter module for monitoring data rates and sending a signal based on deviations from desired thresholds from a normative rate,

the web pages being accessible to a plurality of remote consumer computer systems over a computer network,

wherein at least one of the at least two selected processing modules is the data stabilizer processing module or the saturation limited forecasting module,

and wherein the SLF module uses a Pull function P₀(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.

47. The presentation server of claim 46 wherein the network comprises the Internet.

48. The presentation server of claim 47 wherein the web pages include ratings of merchant websites, the ratings being derived from data processed by a selected processing module.

49. The presentation of claim 46 wherein the web pages include ratings information for one or more products;

the ratings information being derived from data captured from remote computer systems.

50. The system of claim 46 wherein the at least one of the at least two selected processing modules is the data stabilizer processing module.

51. The system of claim 46 wherein the at least one of the at least two selected processing modules is the saturation limited forecasting module.