Method of compensation for content recommendations

• US 20070294131A1
• Filed: 06/02/2006
• Published: 12/20/2007
• Est. Priority Date: 06/02/2006
• Status: Abandoned Application

• Current Assignee: amie, Inc.
• Original Assignee: amie, Inc.
• Inventors: Roman, Elias, Boltuch, Joshua, Hrabovsky, Lucas, Breece, Elliot
• Application Number:
  US11/446,080
• Publication Number:
  US 20070294131A1
• Time in Patent Office: Days
• US Class Current: 705/14.1
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates

Abstract

A system and method of dynamic compensation for providing content recommendations. When a content recommendation is received from a first user, a first value of the content may be determined at the time related to receipt of the recommendation. A second value of the content may be determined after a first predetermined time period and a third value may be determined that is based on a difference between the first and second values. The third value may be paid to the first user. The first and second values may be indicative of demand over different time periods. Thus, recommenders may be compensated according to the individual success of the content they recommend, as measured by the increase in valuation of the content from the time of recommendation to a later time when the content reaches a threshold valuation or increases a predetermined amount.

Claims

1. A method for providing compensation for a content recommendation, comprising:

receiving the content recommendation from a first user;

determining a first value of the content at the time related to receipt of the recommendation;

determining a second value of the content after a first predetermined time period from receipt of the recommendation;

determining a third value that is based on a difference between the first value and the second value; and

paying the third value to the first user.

2. The method of claim 1, wherein the content comprises an electronic file that can be downloaded from a website on the Internet.

3. The method of claim 2, wherein the content further comprises at least one of a song, a video, a book, a podcast, a picture, and software.

4. The method of claim 1, further comprising receiving the content from a content producer.

5. The method of claim 4, wherein the content is uploaded by the content producer to a website on the Internet.

6. The method of claim 1, wherein the recommendation comprises a recommendation unit.

8. The method of claim 6, wherein the recommendation unit can be used at least once by the first user.

9. The method of claim 1, wherein the recommendation comprises a textual review of the content by the first user.

10. The method of claim 1, wherein the recommendation is indicative of a subjective preference of the first user.

11. The method of claim 1, wherein the recommendation is indicative of an objective preference of a second user, as perceived by the first user.

12. The method of claim 1, wherein the recommendation is received electronically.

13. The method of claim 1, wherein the third value is paid to the first user if the second value is greater than the first value.

14. The method of claim 1, wherein the third value is paid to the first user if the second value is at least equal to a predetermined threshold value.

15. The method of claim 1, wherein the third value is substantially equal to the difference between the first value and the second value.

16. The method of claim 1, wherein the third value is less than the difference between the first value and the second value.

17. The method of claim 1, wherein the third value is greater than the difference between the first value and the second value.

18. The method of claim 1, wherein the third value is credited to an account held by the first user.

19. The method of claim 1, wherein the first value is indicative of demand for the content over a time period prior to the recommendation, and wherein the second value is indicative of demand for the content over the first predetermined time period.

20. The method of claim 1, wherein the first value and the second value are based on a listing penetration of the content, wherein the listing penetration comprises a ratio of a number of purchases of the content to a number of active users.

21. The method of claim 20, wherein the number of purchases is determined over a second predetermined time period and the number of active users is determined over a third predetermined time period.

22. The method of claim 20, wherein the first value and the second value are further based on a member population factor, wherein the member population factor comprises a predetermined numerical value that is associated with the number of active users.

23. The method of claim 22, wherein the first value and the second value are substantially equal to the listing penetration multiplied by a normalization factor, minus the member population factor.

24. The method of claim 22, wherein the first value and the second value are substantially equal to the listing penetration multiplied by a normalization factor, plus the member population factor.

25. The method of claim 22, wherein the first value and the second value are substantially equal to the listing penetration multiplied by a normalization factor and by the member population factor.

26. The method of claim 22, wherein the first value and the second value are substantially equal to the listing penetration multiplied by a normalization factor, divided by the member population factor.

7. The method of clam 6, wherein the recommendation unit is distributed to the first user based on an amount of funds deposited into an account.

27. A system for providing compensation for a content recommendation, comprising:

an interface component for receiving the content recommendation from a first user of a plurality of users;

a memory component for storing information associated with the content and the plurality of users; and

a processing component for using the information to determine a first value of the content at the time related to receipt of the content recommendation, for determining a second value of the content after a first predetermined time period from receipt of the recommendation, and for determining a third value that is based on a difference between the first and second values,

wherein the third value is to be paid to the first user.

28. The system of claim 27, wherein the content comprises digital media.

29. The system of claim 27, wherein the first value is indicative of demand for the content over a time period prior to the recommendation, and wherein the second value is indicative of demand for the content over the first predetermined time period.

30. The system of claim 27, wherein the first value and the second value are based on a listing penetration of the content, wherein the listing penetration comprises a ratio of a number of purchases of the content to a number of active users.

31. The system of claim 30, wherein the first value and the second value are further based on a member population factor, wherein the member population factor comprises a numerical value for adjusting each respective first value and second value based on the number of active users.

32. The system of claim 27, wherein the processing component pays the third value to the first user if the second value is at least equal to a predetermined threshold value.

33. The system of claim 27, further comprising an account held by the first user, wherein the third value is credited to the account.

34. The system of claim 27, wherein the information comprises at least one of a number of content views, a number of content purchases, a history of content values and a number of active users.

35. The system of claim 27, wherein the interface component comprises a website accessible via a communications network.

36. The system of claim 35, wherein the communications network comprises at least one of an intranet, the Internet, a local area network (LAN), a wide area network (WAN), a public switched telephone network (PSTN), a cellular network, a Voice over Internet Protocol (VoIP) Network.

37. A method for providing compensation for a content recommendation, comprising:

assigning a recommendation unit to a first user;

allowing the first user to assign the recommendation unit to selected content, wherein the content has a first value that is a function of demand for the content over a first time period prior to assignment of the recommendation unit;

varying the value of the selected content over time as a function of demand for the content; and

compensating the first user at the end of a predetermined time period by a second value that is based on a difference between the first value of the content and a third value of the content at the end of the predetermined time period, wherein the third value is a function of demand for the selected content over the predetermined time period.

38. The method of claim 37, wherein the recommendation unit is assigned to the first user upon the user depositing a predetermined amount of funds into an account.

39. The method of claim 37, wherein the recommendation unit is assigned by the first user on the basis of at least one of a subjective preference of the first user for the selected content and an objective preference of a second user for the selected content.

40. A computer system for providing compensation for a content recommendation, comprising:

a first processing component for assigning a recommendation unit to a first user;

a user interface component for allowing the first user to assign the recommendation unit to selected content, wherein the content has a first value that is a function of demand for the content over a first time period prior to assignment of the recommendation unit;

a second processing component for varying the value of the selected content over time as a function of demand for the content; and

a third processing component for compensating the first user at the end of a predetermined time period by a second value that is based on a difference between the first value of the content and a third value of the content at the end of the predetermined time period, wherein the third value is a function of demand for the selected content over the predetermined time period.

41. A computer-readable medium having computer-executable instructions for performing:

receiving a content recommendation from a first user;

determining a first value of the content at the time related to receipt of the recommendation, wherein the first value is indicative of demand for the content over a time period prior to the recommendation;

determining a second value of the content after a first predetermined time period from receipt of the recommendation, wherein the second value is indicative of demand for the content over the first predetermined time period;

determining a third value that is based on a difference between the first value and the second value; and

crediting the third value to the first user.

42. The computer-readable medium of claim 41, having further computer-executable instructions for receiving the content from a content producer, wherein the content comprises at least one of a song, a video, a book, a podcast, a picture, and software.

43. The computer-readable medium of claim 41, wherein the recommendation comprises a recommendation unit that is assigned to the first user based on an amount of funds deposited into an account.

44. The computer-readable medium of claim 41, wherein the recommendation is indicative of at least one of a subjective preference of the first user and an objective preference of a second user, as perceived by the first user.

45. The computer-readable medium of claim 41, wherein the third value is credited to the first user if the second value is at least equal to a predetermined threshold value.

46. The computer-readable medium of claim 41, wherein the third value is credited to an account held by the first user.

47. The computer-readable medium of claim 41, having further computer-executable instructions for determining the first value and the second value based on a listing penetration of the content, wherein the listing penetration comprises a ratio of a number of purchases of the content to a number of active users.

48. The computer-readable medium of claim 41, having further computer-executable instructions for determining the first value and the second value based on a listing penetration of the content and on a member population factor, wherein the member population factor comprises a predetermined numerical value that is associated with a number of active users.

49. The computer-readable medium of claim 48, wherein the member population factor is configured to cause the first and second price to decrease as the number of active users decreases.

50. The computer-readable medium of claim 48, wherein the member population factor is configured to cause the first and second price to increase as the number of active users increases.