Scalable system and method for predicting hit music preferences for an individual

• US 20060083119A1
• Filed: 10/19/2005
• Published: 04/20/2006
• Est. Priority Date: 10/20/2004
• Status: Abandoned Application

• Current Assignee: Thomas J. Hayes
• Original Assignee: Thomas J. Hayes
• Inventors: Hayes, Thomas J.
• Application Number:
  US11/253,421
• Publication Number:
  US 20060083119A1
• Time in Patent Office: Days
• US Class Current: 369/30.90
• CPC Class Codes: G11B 27/034 on discs G11B27/036, G11B27/038 take precedence

Abstract

A system and method for creating and storing a user'"'"'s hit-music preference list by receiving the user'"'"'s biographical information, profiling the user based on the biographical information to determine music data that may be of interest to the user, receiving a rating from the user for a plurality of genres, wherein the music data is a member of one or more of the plurality of genres, and retrieving music data based on the user'"'"'s rating for the plurality of genres. The system has a memory for storing the user'"'"'s biographical information, a processor configured to profile the user based on the biographical information and to retreive music data that may be of interest to the user, and a display unit for displaying the music data retrieved.

Claims

1. A method for creating a hit-music preference list for a user, the method comprising the steps of:

receiving the user'"'"'s biographical information;

profiling the user to determine music data that may be of interest to the user;

retrieving the music data; and

displaying the music data.

2. The method of claim 1 further comprising the steps of:

receiving a rating from the user for a plurality of genres, wherein the music data is a member of one or more of the plurality of genres; and

retrieving music data based on the user'"'"'s rating for the plurality of genres.

3. The method of claim 1, wherein the music data is selected from a group consisting of a song title, artist, tempo, decade, year of release, chart rank, chart date, energy level, gender of the lead vocalist, audio, video and lyrics.

4. The method of claim 2, wherein the plurality of genres is selected from a group consisting of swing, techno, pop, rock, soul, disco, country, classical, jazz, and Latin.

5. The method of claim 1, further comprising the step of providing a cross-platform interconnectivity network by conforming to open database connectivity standards permitting development, for web sites or computer systems.

6. The method of claim 1, wherein the biographical information is selected from a group consisting of age, gender, race, education level, income level, tolerance of song themes, marital status and geographical location.

7. The method of claim 1, wherein the profiling step creates a universal personal music profile compatible with any developer or vendor.

8. The method of claim 1, further comprising the step of selecting search query settings from multiple query resource threads.

9. The method of claim 8, wherein the multiple query resource threads are cross-indexed.

10. The method of claim 8, wherein the multiple query resource threads include data sources such as catalog statistics, attribute matching, editor suggestions, profile baseline, and declared preferences.

11. The method of claim 7 further comprising the step of combining multiple cross-indexed query resource threads, which can be applied individually or in layered combination, to produce user customizable search parameter.

12. A method for creating a hit-music preference list for a user, the method comprising the steps of:

receiving information pertaining to the user'"'"'s age;

creating a window based on the user'"'"'s age, wherein the window corresponds to a predetermined time frame associated with a period in the user'"'"'s life when he is most likely to hear, absorb, and develop an emotional connection with popular music;

retrieving a plurality of music data within the window;

providing the plurality of music data to the user;

receiving a rating from the user for a plurality of genres, wherein the plurality of sample music data is a member of one or more the plurality of genres; and

retrieving the plurality of music data based on the user'"'"'s ratings for the plurality of genres.

13. The method of claim 12, wherein the plurality of sample music data includes a song title, artist, tempo, decade, year of release, chart rank, chart date, energy level, and gender of the lead vocalist, and lyrics.

14. The method of claim 12, wherein the plurality of genres includes swing, techno, pop, rock, soul, disco, country, classical, jazz, and Latin.

15. The method of claim 12 further comprising the step of providing a cross-platform interconnectivity network by conforming to open database connectivity standards permitting development for web sites or computer systems.

16. The method of claim 12, further comprising the step of creating a universal personal music profile compatible with any developer or vendor.

17. The method of claim 12 further comprising the step of combining more than one cross-indexed query resource thread, which can be applied singly or in layered groups, to produce user customizable search parameter.

18. The method of claim 17, wherein the cross-indexed query resource thread include data sources such as legacy catalog statistics, attribute matching, editor suggestions, profile baseline, and declared preferences.

19. A system for creating a hit-music preference list for a user, the system comprising:

a memory for storing the user'"'"'s biographical information;

a processor configured to profile the user and to retrieve music data that may be of interest to the user; and

a display unit for displaying the music data retrieved.

20. The system of claim 19,

wherein the memory stores a rating from the user for a plurality of genres, each genre having at least one music data;

and

wherein the processor is programmed to retrieve music data based on the user'"'"'s rating for the plurality of genres.

21. The system of claim 19, wherein the music data is selected from group consisting of a song title, artist, tempo, decade, year of release, chart rank, chart date, energy level, gender of the lead vocalist, and lyrics.

22. The system of claim 19, wherein the plurality of genres is selected from a group consisting of swing, techno, pop, rock, soul, disco, country, classical, jazz, and Latin.

23. The system of claim 19, wherein the biographical information is selected from a group consisting of age, gender, race, education level, income level, tolerance of song themes, marital status, and geographical region.

24. The system of claim 19, further comprising a cross-platform interconnectivity network for conforming to open database connectivity standards.

25. The system of claim 19, wherein the profile is a universal personal music profile compatible with any developer or vendor.

28. The system of claim 23, wherein the plurality of genres is selected from a group consisting of swing, techno, pop, rock, soul, disco, country, classical, jazz, and Latin.

29. The system of claim 23, wherein the biographical information is selected from a group consisting of age, gender, race, education level, income level, tolerance of song themes, marital status, and geographical region.

30. The system of claim 23, further comprising a cross-platform interconnectivity network for conforming to open database connectivity standards.

26. A system for creating a hit-music preference list for a user, the system comprising:

at least one memory having program instructions;

v at least one processor configured to execute the program instruction to perform the operations of;

receiving the user'"'"'s biographical information;

profiling the user to determine at least one music data that may be of interest to the user;

receiving a rating from the user for a plurality of genres, wherein the at least one music data is a member of one or more of the plurality of genres; and

retrieving at least one music data based on the user'"'"'s rating for the plurality of genres.

27. The system of claim 26, wherein the music data is selected from a group consisting of a song title, artist, tempo, decade, year of release, chart rank, chart date, energy level, gender of the lead vocalist, and lyrics.