System and method for collecting and using player information

• US 9,180,362 B2
• Filed: 10/02/2012
• Issued: 11/10/2015
• Est. Priority Date: 12/26/2007
• Status: Active Grant

• Current Assignee: Scientific Games Corporation
• Original Assignee: Scientific Games Corporation
• Inventors: Herrman, Mark E., Hardy, Dow K., Acres, John F., Taylor, John E. Jr., Weller, Scott N., Lichtenberger, Francis Josef
• Primary Examiner(s): Lewis, David L
• Assistant Examiner(s): Hoel, Matthew D.
• Application Number:
  US13/633,491
• Publication Number:
  US 20130090750A1
• Time in Patent Office: 1,134 Days
• Field of Search: 463/25, 463/40, 463/41, 463/42, 463/29, 705/14.1, 705/14.25, 705/14.27, 705/14.28, 705/14.32, 705/14.33, 700/92
• US Class Current: 1/1
• CPC Class Codes: A63F 9/24 Electric games; Games using electronic circuits not otherwise provided for video games A63F13/00; computerized gaming systems G07F17/32
• CPC Class Codes: G06F 17/00 Digital computing or data processing equipment or methods, specially adapted for specific functions information retrieval, database structures or file system structures therefor G06F16/00
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G07F 17/32 for games, toys, sports, or amusements
• CPC Class Codes: G07F 17/3237 about the players, e.g. profiling, responsible gaming, strategy/behavior of players, location of players

Abstract

A distributed computer system is provided for collecting player information. Further, a scoring system is provided that rates a player based on one or more elements of the collected information. Players may be rated with respect to a number of characteristics. Responsive to a determined rating or score, action may be taken by the distributed system with regard to the player. For instance, the player may be provided a complimentary offer, provided an award, and invitation to come to a gambling location, presented an advertisement, or other action may be performed involving the player. Further, the distributed computer system may permit a player to manage their frequent player accounts and receive complimentary offers based on a set of criteria specified by the player.

Claims

1. A computer-implemented system for collecting player information, the system comprising:

a processor comprising a collector and a memory device, the processor adapted to create a predictive model of a player, the predictive model of the player configured to predict future behavior of the player, the collector adapted to continuously collect information relating to the player, wherein the collected information is reflective of at least one of online gaming behavior of the player, offline gaming behavior of the player, gaming establishment behavior of the player, demographics of the player, player questionnaires, or a plurality of frequent player accounts associated with the player,

the memory device adapted to store the collected information,

wherein the processor is further configured to;

continuously supply the collected information relating to the player to the predictive model of the player,

continuously update the predictive model based on the collected information so as to improve accuracy of the predictive model;

compare the predictive model with a model of a reference player, the model of the reference player constructed of reference data comprising online gaming behavior of the reference player, offline gaming behavior of the reference player, gaming establishment behavior of the reference player, demographics of the reference player, player questionnaires of the reference player, or frequent player accounts of the reference player; and

layer one or more incentive programs to the player when the predictive model corresponds to the model of the reference player; and

determine a value of layering the one or more incentive programs to the player.

2. The system according to claim 1, wherein the processor is further adapted to determine a rating of the player based on the collected information.

3. The system according to claim 1, wherein the plurality of frequent player accounts are player accounts related to a respective plurality of gaming establishments.

4. The system according to claim 1, wherein the processor is further adapted to log onto at least one of the plurality of frequent player accounts associated with the player to obtain the collected information.

5. The system according to claim 1, further comprising a computer interface adapted to display, to the player, the collected information.

6. The system according to claim 1, wherein the processor is further configured to:

determine a rating of the player based on the comparison of the predictive model and the model of the reference player.

7. The system according to claim 1, wherein the one or more incentive programs comprise at least one of a complimentary offer or an advertisement.

8. The system according to claim 1, wherein the processor is further configured to determine an effectiveness of layering the one or more incentives programs to the player based on the value.

9. A computer-implemented method for collecting player information, the system comprising acts of:

creating, via a processor, a predictive model of a player configured to predict future behavior of the player;

continuously collecting, via the processor, information relating to the player, wherein the collected information is reflective of at least one of online gaming behavior of the player, offline gaming behavior of the player, gaming establishment behavior of the player, demographics of the player, player questionnaires, or a plurality of frequent player accounts associated with the player; and

storing, via a memory device, the collected information in a database;

continuously supplying, via the processor, the collected information relating to the player to the predictive model of the player;

continuously updating the predictive model based on the collected information so as to improve accuracy of the predictive model;

comparing the predictive model with a model of a reference player, the model of the reference player constructed of reference data, the reference data comprising online gaming behavior of the reference player, offline gaming behavior of the reference player, gaming establishment behavior of the reference player, demographics of the reference player, player questionnaires of the reference player, or frequent player accounts of the reference player; and

layering one or more incentive programs to the player when the predictive model corresponds to the model of the reference player; and

determining a value of layering the one or more incentive programs to the player.

10. The method according to claim 9, further comprising an act of determining, via the processor, a rating of the player based on the collected information.

11. The method according to claim 9, wherein the plurality of frequent player accounts are player accounts related to a respective plurality of gaming establishments.

12. The method according to claim 9, wherein the act of collecting, via the processor, further comprises an act of logging onto at least one of the plurality of frequent player accounts associated with the player to obtain the information.

13. The method according to claim 9, further comprising an act of displaying, via a computer interface, the collected information to the player.

14. The method according to claim 9, further comprising determining a worth of the player based on the comparison of the predictive model and the model of the reference player.

15. The method according to claim 9, wherein the one or more incentive programs comprise at least one of a complimentary offer or an advertisement to the player.

16. The method according to claim 9, further comprising determining an effectiveness of layering the one or more incentives programs to the player based on the value.

17. A computer-readable medium comprising computer-executable instructions that when executed on a processor performs a method for collecting player information in a distributed computer system, the method comprising acts of:

creating a predictive model of a player configured to predict future behavior of the player;

continuously collecting, via a collector of the processor, information relating to the player, wherein the collected information is reflective of at least one of online gaming behavior of the player, offline gaming behavior of the player, gaming establishment behavior of the player, demographics of the player, player questionnaires, or a plurality of frequent player accounts associated with the player; and

storing, via a memory device of the processor, the collected information in a database;

continuously supplying the collected information relating to the player to the predictive model of the player;

continuously updating the predictive model based on the collected information so as to improve accuracy of the predictive model;

comparing the predictive model with a model of a reference player, the model of the reference player constructed of reference data, the reference data comprising online gaming behavior of the reference player, offline gaming behavior of the reference player, gaming establishment behavior of the reference player, demographics of the reference player, player questionnaires of the reference player, or frequent player accounts of the reference player; and

layering one or more incentive programs to the player when the predictive model corresponds to the model of the reference player; and

determining a value of layering the one or more incentive programs to the player.

18. The computer-readable medium according to claim 17, further comprising an act of determining a rating of the player based on the comparison of the predictive model and the model of the reference player.

19. The computer-readable medium according to claim 17, wherein the one or more incentive programs comprise at least one of a complimentary offer or an advertisement to the player.

20. The computer-readable medium according to claim 17, further comprising determining an effectiveness of layering the one or more incentives programs to the player based on the value.