Real-time selection of survey candidates

• US 20060004621A1
• Filed: 06/30/2004
• Published: 01/05/2006
• Est. Priority Date: 06/30/2004
• Status: Abandoned Application

• Current Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Original Assignee: The Nielsen Company LLC (MOOD Media Corporation)
• Inventors: Malek, Kamal M., Karty, Kevin D., Teller, David B., Ficici, Sevan
• Application Number:
  US10/881,154
• Publication Number:
  US 20060004621A1
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06N 3/126 Evolutionary algorithms, e.g. genetic algorithms or genetic programming
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0203 Market surveys; Market polls
• CPC Class Codes: G06Q 30/0205 Location or geographical consideration

Abstract

A method of evaluating a candidate for participation in a survey by obtaining, over an electronic network, information describing the candidate, categorizing the candidate, determining if adding the candidate would increase the population in a group beyond a specified threshold, and conditionally excluding the candidate. Otherwise, allowing the candidate to participate in the survey and obtaining preferential information describing the candidate'"'"'s affinity for one or more decision objects.

Claims

1. A method of evaluating a candidate for participation in a survey, comprising:

(a) obtaining, over an electronic network, information describing the candidate;

(b) categorizing the candidate as a potential member of one or more predetermined groups, based upon the information obtained in step (a);

(c) for each of the one or more predetermined groups, if adding the candidate to that group would increase the population in that group beyond a specified threshold, excluding the candidate from participating in the survey, and otherwise adding the candidate as a member of each of the one or more predetermined groups and allowing the candidate to participate in the survey; and

(d) if the candidate is allowed to participate in the survey, obtaining from the candidate preferential information describing the candidate'"'"'s affinity for one or more decision objects.

2. The method of claim 1, further comprising evolving one or more decision objects based upon the preferential information obtained in step (d).

3. The method of claim 2, further comprising identifying one or more preferred decision objects based upon additional preferential information obtained from at least one other member of the one or more predetermined groups.

4. The method of claim 1, wherein the obtained information includes one or more of the candidate'"'"'s:

age;

race or ethnicity;

marital status;

predisposition to purchase a particular product;

income range;

gender;

occupation;

socio-economic classification;

level of education;

physical characteristics;

health;

geographic location; and

whether or not the candidate has previously participated in a survey.

5. The method of claim 1, further comprising, if the candidate is excluded from participating in the survey, nevertheless obtaining the candidate'"'"'s expressed preferences for one or more decision objects.

6. The method of claim 1, further comprising, if the candidate is excluded from participating in the survey, obtaining additional information from the candidate.

7. The method of claim 1, wherein the specified threshold comprises a percentage of all candidates who have been allowed to participate in the survey.

8. The method of claim 1, wherein the specified threshold comprises a percentage range between a minimum and a maximum allowable percentage of all candidates.

9. The method of claim 8, wherein the specified threshold further comprises either a relative deviation based on a percentage of all candidates or an absolute allowable deviation.

10. A method of evaluating a candidate for participation in a survey, comprising:

(a) obtaining, over an electronic network, information describing the candidate;

(b) categorizing the candidate as a potential member of one or more predetermined groups, based upon the information obtained in step (a);

(c) for each of the one or more predetermined groups, if allowing the candidate to participate in the survey would decrease the population of any group below a specified threshold, excluding the candidate from participating in the survey, and otherwise adding the candidate as a member of each of the one or more predetermined groups and allowing the candidate to participate in the survey; and

(d) if the candidate is allowed to participate in the survey, obtaining from the candidate preferential information describing the candidate'"'"'s affinity for one or more decision objects.

11. The method of claim 10, further comprising evolving one or more decision objects based upon the preferential information obtained in step (d).

12. The method of claim 11, further comprising identifying one or more preferred decision objects based upon additional preferential information obtained from at least one other member of the first one or more predetermined groups.

13. The method of claim 10, wherein the obtained information includes one or more of the candidate'"'"'s:

age;

race or ethnicity;

marital status;

predisposition to purchase a particular product;

income range;

gender;

occupation;

socio-economic classification;

level of education;

physical characteristics;

health;

geographic location; and

whether or not the candidate has previously participated in a survey.

14. The method of claim 10, further comprising, if the candidate is excluded from the survey, nevertheless obtaining and recording the candidate'"'"'s expressed preferences for one or more decision objects.

15. The method of claim 10, further comprising, if the candidate is excluded from the survey, obtaining additional information from the candidate.

16. The method of claim 10, wherein the specified threshold comprises a percentage of all candidates who have been allowed to participate in the survey.

17. The method of claim 10, wherein the specified threshold comprises a percentage range between a minimum and a maximum allowable percentage of all candidates.

18. The method of claim 17, wherein the specified threshold further comprises either a relative deviation based on a percentage of all candidates or an absolute allowable deviation.

19. A computer system connected to an electronic network, the system configured to perform the following steps:

(a) obtaining information describing a candidate over the electronic network;

(b) categorizing the candidate as a potential member of one or more predetermined groups, based upon the information obtained in step (a);

(c) for each of the one or more predetermined groups, if allowing the candidate to participate in the survey would decrease the population of any group below a specified threshold, excluding the candidate from participating in the survey, and otherwise adding the candidate as a member of each of the one or more predetermined groups and allowing the candidate to participate in the survey; and

(d) if the candidate is allowed to participate in the survey, obtaining from the candidate preferential information describing the candidate'"'"'s affinity for one or more decision objects.

20. The system of claim 19, further comprising the step of evolving one or more decision objects based upon the preferential information obtained in step (d).

21. The system of claim 20, further comprising the step of identifying one or more preferred decision objects based upon additional preferential information obtained from at least one other member of the one or more predetermined groups.

22. The system of claim 19, wherein the obtained information includes one or more of the candidate'"'"'s:

age;

race or ethnicity;

marital status;

predisposition to purchase a particular product;

income range;

gender;

occupation;

socio-economic classification;

level of education;

physical characteristics;

health;

geographic location; and

whether or not the candidate has previously participated in a survey.

23. The system of claim 19, wherein if the candidate is excluded from participating in the survey, nevertheless obtaining the candidate'"'"'s expressed preferences for one or more decision objects.

24. The system of claim 19, wherein if the candidate is excluded from participating in the survey, obtaining additional information from the candidate.

25. The system of claim 19, wherein the specified threshold comprises a percentage of all candidates who have been allowed to participate in the survey.

26. The system of claim 19, wherein the specified threshold comprises a percentage range between a minimum and a maximum allowable percentage of all candidates.

27. The system of claim 26, wherein the specified threshold further comprises either a relative deviation based on a percentage of all candidates or an absolute allowable deviation.

28. A method for assessing, over an electronic network, the preferences of an objectively predefined consumer group from among decision objects comprising various forms of a product, the method comprising:

(a) while conducting a survey involving collecting, over a network, preference information regarding various decision objects displayed to consumers over the network, permitting a potential new candidate to request participation in the survey;

(b) obtaining, through the network, data relevant to determining whether the candidate may be classified as a member of an objectively predefined consumer group;

(c) excluding the candidate from participating in the survey if either adding the candidate would result in over representation of a subtype of consumer in the group, or the candidate objectively is not includable in the group; and

(d) otherwise, allowing the candidate to participate in the survey and obtaining preference information from the candidate indicative of the candidate'"'"'s affinity for one or more decision objects.

29. The method of claim 28, further comprising evolving one or more decision objects based upon the preference information obtained in step (d).

30. The method of claim 29, further comprising identifying one or more preferred decision objects based upon additional preference information obtained from at least one other member of the consumer groups.

31. The method of claim 28, wherein the data includes one or more of the candidate'"'"'s:

age;

race or ethnicity;

marital status;

predisposition to purchase a particular product;

income range;

gender;

occupation;

socio-economic classification;

level of education;

physical characteristics;

health;

geographic location; and

whether or not the candidate has previously participated in a survey.

32. The method of claim 28, further comprising, if the candidate is excluded from participating in the survey, nevertheless obtaining the candidate'"'"'s expressed preferences for one or more decision objects.

33. The method of claim 28, further comprising, if the candidate is excluded from participating in the survey, obtaining additional information from the candidate.

34. The method of claim 28, wherein the over representation of a subtype of consumer in the group comprises causing the percentage of the subtype to exceed a maximum allowable percentage of all candidates who have been allowed to participate in the survey.

35. The method of claim 28, wherein the over representation of a subtype of consumer in the group comprises causing the percentage of the subtype to exceed a maximum allowable percentage of all candidates or causing the percentage of another subtype to fall below a minimum allowable percentage of all candidates.

36. The method of claim 35, wherein the maximum allowable percentage further comprises either a relative deviation based on a percentage of all candidates or an absolute allowable deviation.

37. The method of claim 35, wherein the minimum allowable percentage further comprises either a relative deviation based on a percentage of all candidates or an absolute allowable deviation.