System and method for rating plural products

• US 7,627,486 B2
• Filed: 10/07/2002
• Issued: 12/01/2009
• Est. Priority Date: 10/07/2002
• Status: Active Grant

• Current Assignee: CBS Interactive Inc. (Paramount Global (f/k/a ViacomCBS Inc.))
• Original Assignee: CBS Interactive Inc. (Paramount Global (f/k/a ViacomCBS Inc.))
• Inventors: Musgrove, Timothy A., Walsh, Robin Hiroko, Gilchrist, Russell
• Primary Examiner(s): Borissov, Igor N
• Assistant Examiner(s): Erb, Nathan
• Application Number:
  US10/265,189
• Publication Number:
  US 20040068413A1
• Time in Patent Office: 2,612 Days
• Field of Search: 705/1
• US Class Current: 705/1.1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products
• CPC Class Codes: G06Q 30/0283 Price estimation or determination
• CPC Class Codes: G06Q 30/0627 using item specifications

Abstract

A system and method for rating of each of plural products comprising identifying a plurality of attributes associated with a category of product, applying a scalar structure for each attribute to provide a scalar value for each attribute of each of the plural products, determining an incremental competitive index for each attribute of each product based on the scalar value of each attribute and a number of products having the scalar value, and rating each product based on the determined competitive index.

Claims

1. A method executed in a computer system having at least one physical computing device for rating of each of plural products comprising the steps of:

using a first physical computing device, identifying a plurality of attributes associated with a category of product;

using the first physical computing device, applying a scalar structure for each attribute to provide a scalar value of each attribute for each of said plural products;

using the first physical computing device or a second physical computing device or a combination of the first and the second physical computing devices, determining a competitive index of each scalar value for each attribute of each product based on said scalar value of each attribute and a number of products having said scalar value, wherein determining said competitive index comprises;

calculating a percentile rank of each scalar value;

calculating the percentile rank range which each scalar value spans; and

determining an average of a maximum percentile rank and a minimum percentile rank of said calculated percentile rank range which each scalar value spans, said competitive index being determined to be said average; and

rating each product on the first physical computing device or the second physical computing device or on the combination of the first and the second physical computing devices based on said determined competitive indexes.

2. The method of claim 1, wherein said plurality of attributes includes the price of each of said plural products.

3. The method of claim 2, further comprising the steps of determining a price offset of each product based on an average price of said plural products in said category, and apportioning said price offset of each product to one or more attributes associated with said category.

4. The method of claim 3, further comprising the step of correlating said apportioned price offsets to increments of said competitive index.

5. The method of claim 4, further comprising the steps of determining a theoretical value price of each product based on said correlated apportioned price offsets, and rating each of said plural products based on actual product price and said determined theoretical value price.

6. The method of claim 5, wherein determining said competitive index of each scalar value for each attribute further comprises the step of sequencing said scalar value of each attribute for each of said plural products.

7. The method of claim 3, further comprising the step of calculating a correlation reliability value indicative of a correlation between respective ones of the product attributes and the respective price offsets apportioned thereto.

8. The method of claim 7, further comprising the step of generating a warning if said correlation is less than a predetermined level and not generating the warning if said correlation is greater than or equal to said predetermined level.

9. The method of claim 7, further comprising the step of disregarding said product attribute in determining said competitive index if said correlation is less than a predetermined level and not disregarding said product attribute in determining said competitive index if said correlation is greater than or equal to said predetermined level.

10. The method of claim 1, further comprising the step of providing an anticipated street price for a new product when said new product does not have a price associated therewith from a predetermined number of vendors, and not providing said anticipated street price for said new product when said new product does have a price associated therewith from the predetermined number of vendors.

11. The method of claim 1, further comprising the steps of assigning an importance level to at least one attribute, and setting a corresponding threshold to said importance level which sets a maximum number of attributes that can be absent from a product at said importance level for said product to be subjected to said step of determining said competitive index.

12. The method of claim 1, further comprising the step of generating a notification if a rating of one of the products changes at least a predetermined amount and not generating said notification if said rating of said one of the products does not change at least said predetermined amount.

13. The method of claim 1, further comprising the step of publishing a rating of each of said plural products.

14. A computer system for rating each of plural products comprising:

a processor; and

a memory, communicatively coupled to the processor;

wherein the computer system is configured to perform a method, the method comprising;

storing a plurality of attributes associated with a category of product;

applying a scalar structure for each attribute to provide a scalar value of each attribute for each of said plural products;

determining a competitive index of each scalar value for each attribute of each product based on said scalar value of each attribute and a number of products having said scalar value, wherein determining said competitive index comprises;

calculating a percentile rank of each scalar value;

calculating the percentile rank range which each scalar value spans; and

determining an average of a maximum percentile rank and a minimum percentile rank of said calculated percentile rank range which each scalar value spans, said competitive index being determined to be said average; and

rating each product based on said determined competitive index.

15. The computer system of claim 14, wherein said plurality of attributes includes the price of each of said plural products.

16. The computer system of claim 15, wherein the method further comprises determining a price offset of each product based on an average price of said plural products in said category, and apportioning said price offset of each product to one or more of the plurality of attributes associated with said category of product.

17. The computer system of claim 16, wherein the method further comprises correlating said apportioned price offsets to increments of said competitive index.

18. The computer system of claim 17, wherein the method further comprises determining a theoretical value price of each product based on said correlated apportioned price offsets.

19. The computer system of claim 18, wherein the method further comprises rating each of said plural products based on actual product price and said determined theoretical value price.

20. The computer system of claim 19, wherein the method further comprises sequencing said scalar value of each attribute for each of said plural products.

21. The computer system of claim 17, wherein the method further comprises calculating a correlation reliability value indicative of a correlation between respective ones of the product attributes and the respective price offsets apportioned thereto.

22. The computer system of claim 21, wherein the method further comprises generating a warning if said correlation is less than a predetermined level and not generating the warning if said correlation is greater than or equal to said predetermined level.

23. The computer system of claim 21, wherein said computer system is configured to disregard said product attribute in determining said competitive index if said correlation is less than a predetermined level and not disregard said product attribute in determining said competitive index if said correlation is greater than or equal to said predetermined level.

24. The computer system of claim 14, wherein the method further comprises assigning an importance level to at least one attribute, and setting a corresponding threshold to said importance level which sets a maximum number of attributes that can be absent from a product at said importance level for said product to be subjected to said step of determining said competitive index.

25. The computer system of claim 14, wherein the method further comprises generating a notification if a rating of one of the products changes at least a predetermined amount and not generating said notification if said rating of said one of the products does not change at least said predetermined amount.

26. The computer system of claim 14, wherein said computer system is a server connected to a network.

27. The computer system of claim 26, wherein the method further comprises publishing a rating of each of said plural products such that said ratings are remotely accessible via said network.

28. A computer readable medium for rating plural products storing computer-executable instructions for causing a computer to execute a method comprising:

identifying a plurality of attributes associated with a category of product;

applying a scalar structure for each attribute to provide a scalar value of each attribute for each of said plural products;

determining a competitive index of each scalar value for each attribute of each product based on said scalar value of each attribute and a number of products having said scalar value of each attribute, wherein determining said competitive index comprises;

calculating a percentile rank of each scalar value;

calculating the percentile rank range which each scalar value spans; and

determining an average of a maximum percentile rank and a minimum percentile rank of said calculated percentile rank range which each scalar value spans, said competitive index being determined to be said average; and

rating each product based on said determined competitive indexes.

29. The medium of claim 28, wherein said plurality of attributes includes the price of each of said plural products.

30. The medium of claim 29, wherein the method further comprises determining a price offset of each product based on an average price of said plural products in said category, and apportioning said price offset of each product to one or more of the plurality of attributes associated with said category.

31. The medium of claim 30, wherein the method further comprises correlating said apportioned price offsets to increments of said competitive index.

32. The medium of claim 31, wherein the method further comprises determining a theoretical value price of each product based on said correlated apportioned price offsets, and rating each of said plural products based on actual product price and said determined theoretical value price.

33. The medium of claim 32, wherein determining the competitive index of each scalar value for each attribute of each product further comprises sequencing said scalar value of each attribute for each of said plural products.

34. The medium of claim 30, wherein the method further comprises calculating a correlation reliability value indicative of a correlation between respective ones of the product attributes and the respective price offsets apportioned thereto.

35. The medium of claim 34, wherein the method further comprises generating a warning if said correlation is less than a predetermined level and not generating the warning if said correlation is greater than or equal to said predetermined level.

36. The medium of claim 34, wherein the method further comprises disregarding said product attribute in determining said competitive index if said correlation is less than a predetermined level and not disregarding said product attribute in determining said competitive index if said correlation is greater than or equal to said predetermined level.

37. The medium of claim 28, wherein the method further comprises allowing assignment of an importance level to at least one attribute, and setting a corresponding threshold to said importance level which sets a maximum number of attributes that can be absent from a product at said importance level for said product to be subjected to said step of determining said competitive index.

38. The medium of claim 28, wherein the method further comprises generating a notification if a rating of one of the products changes at least a predetermined amount and not generating said notification if said rating of said one of the products does not change at least said predetermined amount.

39. The medium of claim 28, wherein the method further comprises publishing rating of each of said plural products.