System, method and computer program product for determining an angler rating

• US 6,587,740 B2
• Filed: 10/10/2001
• Issued: 07/01/2003
• Est. Priority Date: 10/10/2001
• Status: Expired due to Fees

• Current Assignee: Anglerschannel.Com, LLC
• Original Assignee: Anglerschannel.Com, LLC
• Inventors: Smith, Peter, Byrne, John, Stribling, Dave, Malvestuto, Steve
• Primary Examiner(s): ONEILL, MICHAEL W
• Application Number:
  US09/974,235
• Publication Number:
  US 20030100966A1
• Time in Patent Office: 629 Days
• Field of Search: 700/91, 700/92, 700/93, 340/539, 340/323.R, 43/4, 43/45
• US Class Current: 700/91
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising

Abstract

A system for determining at least one angler rating for at least one angler comprises a processing element, at least one electronic database and an output element. The processing element can receive fishing information, where the fishing information is associated with at least one lake. Based on at least a portion of the fishing information, the processing element is capable of determining the at least one angler rating. The electronic databases are responsive to the processing element for storing the electronic fishing information based upon the fishing information received by the processing element. The electronic databases are further capable of storing the angler ratings. The output element is responsive to the processing element for outputting the angler ratings.

Claims

1. A system for determining at least one angler rating for at least one angler comprising:

a processing element capable of receiving fishing information, wherein the fishing information is associated with at least one lake, and wherein said processing element is capable of determining the at least one angler rating for at least one angler based on at least a portion of the fishing information; and

an output element capable of outputting the at least one angler rating.

2. A system according to claim 1 further comprising at least one electronic database responsive to said processing element for storing the electronic fishing information based upon the fishing information received by said processing element, wherein said at least one electronic database is further capable of storing the at least one angler rating.

3. A system according to claim 2, wherein said processing element communicates with said at least one electronic database across a wide area network (WAN).

4. A system according to claim 3, wherein the WAN comprises the Internet.

5. A system according to claim 1, wherein said output element comprises a graphical user interface (GUI) responsive to said processing element for displaying the at least one angler rating.

6. A system according to claim 1, wherein said processing element is capable of determining the at least one angler rating by determining at least one trip point value for at least one fishing trip of the at least one angler on at least one lake, calculating at least one score based upon the at least one trip point value and at least one standard value for at least one lake associated with the at least one fishing trip, and thereafter determining the at least one angler rating based upon the at least one score and a number of fishing trips.

7. A system according to claim 6, wherein said processing element is further capable of establishing the at least one standard value for the at least one lake associated with the at least one fishing trip.

8. A system according to claim 7, wherein said processing element is capable of establishing the at least one standard value by setting the at least one standard value equal to a predetermined percentile of a distribution of a plurality of trip point values for the respective lakes.

9. A system according to claim 6, wherein said processing element is capable of determining the at least one trip point value by calculating at least one fish size index for at least one fish based upon a weight and a length point value for the at least one fish, determining at least one quality per length class based upon the at least one fish size index and a number of the at least one fish in a given length class, computing at least one quality per target species based upon the at least one quality per length class and a number of length classes of fish targeted, and thereafter determining the at least one trip point value based upon the at least one quality per target species and a trip length, and wherein when a group of species are targeted the computing is further based upon a number of fish of a species targeted in the group.

10. A system according to claim 6, wherein said processing element is capable of calculating the at least one score by subtracting the standard value for a respective lake from the trip point value for a fishing trip at the respective lake.

11. A method of determining at least one angler rating for at least one angler comprising the steps of:

receiving fishing information, wherein the fishing information is associated with at least one lake;

determining the at least one angler rating based on at least a portion of the fishing information; and

outputting the at least one angler rating.

12. A method according to claim 11, wherein determining the at least one angler rating based on at least a portion of the fishing information comprises:

determining at least one trip point value for at least one fishing trip on at least one lake;

calculating at least one score based upon the at least one trip point value and at least one standard value for the at least one lake associated with the at least one fishing trip; and

determining the at least one angler rating based upon the at least one score and a number of fishing trips.

13. A method according to claim 12 further comprising establishing at least one standard value for at least one lake associated with the at least one fishing trip, wherein establishing occurs before calculating the at least one score.

14. A method according to claim 12, wherein establishing at least one standard value comprises setting the at least one standard value equal to a predetermined percentile of a distribution of a plurality of trip point values for the respective lakes.

15. A method according to claim 12, wherein determining at least one trip point value comprises the steps of:

calculating at least one fish size index for at least one fish based upon a weight and a length point value for the at least one fish;

determining at least one quality per length class based upon the at least one fish size index and a number of the at least one fish in a given length class;

computing at least one quality per target species based upon the at least one quality per length class and a number of length classes of fish targeted, wherein when a group of species are targeted the computing is further based upon a number of fish of a species targeted in the group; and

determining the at least one trip point value based upon the at least one quality per target species and a trip length.

16. A method according to claim 15, wherein calculating the at least one fish size index comprises calculating the at least one fish size index by multiplying at least one weight of the at least one fish by a length point value, wherein the length point value is based upon at least one length of the at least one fish and a world record length of at least one species of the at least one fish.

17. A method according to claim 16, wherein calculating the at least one fish size index comprises calculating each of the at least one fish index according to the following:

18. A method according to claim 15, wherein determining at least one quality per length class comprises determining at least one quality per length class by multiplying a number of the at least one fish in a given length class by the at least one fish size index.

19. A method according to claim 18, wherein determining at least one quality per length class comprises determining each quality per length class according to the following:

20. A method according to claim 15, wherein computing at least one quality per target species comprises computing at least one quality per target species by aggregating each quality per length class over a number of length classes of fish targeted, and wherein when a group of species are targeted the computing is calculated by further aggregating the aggregate quality per length classes over a number of species targeted in the group.

21. A method according to claim 20, wherein computing at least one quality per target species comprises computing each quality per target species according to the following:

$Q_S=\underset{s}{\sum <br><br>}<br><br>\underset{c}{\sum <br><br>}<br><br>Q_L$

wherein Q_S is the quality per target species, s is a number of species targeted in the group, c is the number of length classes of fish targeted, and Q_L is the quality per length class.

22. A method according to claim 15, wherein computing at least one quality per target species comprises computing the at least one quality per target species for each fish harvested and each fish released for each fishing trip.

23. A method according to claim 22, wherein determining the at least one trip point value comprises determining each trip point value by taking the square root of the sum of the quality per target species for the fish harvested and the fish released divided by the trip length.

24. A method according to claim 23, wherein determining the at least one trip point value comprises determining each trip point value according to the following:

$\mathrm{CP}=\sqrt{\frac{{\mathrm{HQ}}_S+{\mathrm{RQ}}_S}{T}}$

wherein CP is the trip point value, HQ_S is the quality per target species for the fish harvested, RQ_S is the quality per target species for the fish released, and T is the trip length.

25. A method according to claim 23, wherein determining the at least one trip point value comprises determining the at least one trip point value based upon at least one predetermined weighting of the at least one quality per target species fish released.

26. A method according to claim 25, wherein the at least one predetermined weighting comprises a sport fish predetermined weighting and a food fish predetermined weighting.

27. A method according to claim 25, wherein determining the at least one trip point value comprises determining each trip point value according to the following:

$\mathrm{CP}=\sqrt{\frac{{\mathrm{HQ}}_S+{\mathrm{RQ}}_S\times <br><br>\mathrm{PW}}{T}}$

wherein CP is the trip point value, HQ_S is the quality per target species for the fish harvested, RQ_S is the quality per target species for the fish released, PW is the at least one predetermined weighting, and T is the trip length.

28. A method according to claim 12, wherein determining at least one trip point value comprises determining the at least one trip point value such that each trip point value is bounded by an upper limit and a lower limit.

29. A method according to claim 12, wherein calculating at least one score comprises calculating the at least one score by subtracting the standard value for a respective lake from the trip point value for a fishing trip at the respective lake.

30. A method according to claim 29, wherein calculating at least one score comprises calculating the at least one score according to the following:

31. A computer program product for determining at least one angler rating for at least one angler, the computer program product comprising a computer-readable storage medium having computer-readable program code embodied in said medium, the computer-readable program code comprising:

a first executable portion for receiving fishing information, wherein the fishing information is associated with at least one lake;

a second executable portion for determining the at least one angler rating based on at least a portion of the fishing information; and

a third executable portion for outputting the at least one angler rating.

32. A computer program according to claim 31, wherein said second executable portion determines the at least one angler rating by:

determining at least one trip point value for at least one fishing trip on at least one lake,

calculating at least one score based upon the at least one trip point value determined and at least one standard value for at least one lake associated with the at least one fishing trip, and

determining the at least one angler rating based upon the at least one score and a number of fishing trips.

33. A computer program product according to claim 32 further comprising a fourth executable portion for establishing at least one standard value for at least one lake associated with the at least one fishing trip, wherein establishing occurs before said second executable portion determines the at least one angler rating.

34. A computer program product according to claim 32, wherein said fourth executable portion establishes at least one standard value by setting the at least one standard value equal to a predetermined percentile of a distribution of a plurality of trip point values for the respective lakes.

35. A computer program product according to claim 32, wherein said second executable portion determines at least one trip point value by:

calculating at least one fish size index for at least one fish based upon a weight and a length point value for the at least one fish,

determining at least one quality per length class based upon the at least one fish size index and a number of the at least one fish in a given length class,

computing at least one quality per target species based upon the at least one quality per length class and a number of length classes of fish targeted, wherein when a group of species are targeted the computing is further based upon a number of fish of a species targeted in the group, and

determining the at least one trip point value based upon the at least one quality per target species and a trip length.

36. A computer program product according to claim 35, wherein said second executable portion calculates the at least one fish size index by multiplying at least one weight of the at least one fish by a length point value, wherein the length point value is based upon at least one length of the at least one fish and a world record length of at least one species of the at least one fish.

37. A computer program product according to claim 36, wherein said second executable portion calculates each of the at least one fish index according to the following:

38. A computer program product according to claim 35, wherein said second executable portion determines at least one quality per length class by multiplying a number of the at least one fish in a given length class by the at least one fish size index.

39. A computer program product according to claim 38, wherein said second executable portion determines at least one quality per length class according to the following:

40. A computer program product according to claim 35, wherein said second executable portion computes at least one quality per target species by aggregating each quality per length class over a number of length classes of fish targeted, and wherein when a group of species are targeted the computing is calculated by further aggregating the aggregate quality per length classes over a number of species targeted in the group.

41. A computer program product according to claim 40, wherein said second executable portion computes at least one quality per target species according to the following:

$Q_S=\underset{s}{\sum <br><br>}<br><br>\underset{c}{\sum <br><br>}<br><br>Q_L$

wherein Q_S is the quality per target species, s is a number of species targeted in the group, c is the number of length classes of fish targeted, and Q_L is the quality per length class.

42. A computer program product according to claim 35, wherein said second executable portion computes the at least one quality per target species for each fish harvested and each fish released for each fishing trip.

43. A computer program product according to claim 42, wherein said second executable portion determines each trip point value by taking the square root of the sum of the quality per target species for the fish harvested and the fish released divided by the trip length.

44. A computer program product according to claim 43, wherein said second executable portion determines each trip point value according to the following:

$\mathrm{CP}=\sqrt{\frac{{\mathrm{HQ}}_S+{\mathrm{RQ}}_S}{T}}$

wherein CP is the trip point value, HQ_S is the quality per target species for the fish harvested, RQ_S is the quality per target species for the fish released, and T is the trip length.

45. A computer program product according to claim 43, wherein said second executable portion determines the at least one trip point value based upon at least one predetermined weighting of the at least one quality per target species fish released.

46. A computer program product according to claim 45, wherein the at least one predetermined weighting comprises a sport fish predetermined weighting and a food fish predetermined weighting.

47. A computer program product according to claim 45, wherein said second executable portion determines each trip point value according to the following:

$\mathrm{CP}=\sqrt{\frac{{\mathrm{HQ}}_S+{\mathrm{RQ}}_S\times <br><br>\mathrm{PW}}{T}}$

wherein CP is the trip point value, HQ_S is the quality per target species for the fish harvested, RQ_S is the quality per target species for the fish released, PW is the at least one predetermined weighting, and T is the trip length.

48. A computer program product according to claim 32, wherein said second executable portion determines the at least one trip point value such that each trip point value is bounded by an upper limit and a lower limit.

49. A computer program product according to claim 32, wherein said second executable portion calculates each score by subtracting the standard value for a respective lake from the trip point value for a fishing trip at the respective lake.

50. A computer program product according to claim 49, wherein said second executable portion calculates each score according to the following: