Methods and apparatus to generate relevance rankings for use by a program selector of a media presentation system
View Patent ↗Example methods and apparatus to generate relevance rankings for use by a program selector of a media presentation system are disclosed. An example method comprises tabulating a plurality of occurrence counts for respective ones of a plurality of terms of a program guide, each of the occurrence counts indicating a corresponding number of times each of the terms appears in the program guide, computing a plurality of relevance ranking scores for respective ones of a plurality of programs listed in the program guide based on the plurality of occurrence counts, selecting a list of programs from the program guide based on the relevance ranking scores, and outputting the list of programs.
1. A system, comprising:
a memory that stores instructions;
a processor that executes the instructions to perform operations, the operations comprising:
computing, for a program, a relevance ranking score, wherein the relevance ranking score is computed by multiplying an average of occurrence counts for a plurality of terms associated with the program by a number of times the program is listed in a program guide;
adjusting the relevance ranking score for the program based on a user profile; and
generating, for display on a display device, a sorted list of programs including the program, wherein the sorted list is sorted based on the relevance ranking score for the program.
2. The system of claim 1 , wherein the operations further comprise calculating the average of occurrence counts for the plurality of terms associated with the program.
3. The system of claim 1 , wherein the operations further comprise adjusting the relevance ranking score based on a viewership rating.
4. The system of claim 1 , wherein the operations further comprise adjusting the occurrence counts based on a boost table.
5. The system of claim 1 , wherein the operations further comprise identifying a different user profile having a similarity to the user profile based on a correlation metric.
6. The system of claim 5 , wherein the operations further comprise weighting the relevance ranking score based on the similarity between the different user profile and the user profile.
7. The system of claim 1 , wherein the operations further comprise sorting the programs in the sorted list of programs.
8. The system of claim 1 , wherein the operations further comprise receiving search criteria for identifying a plurality of programs corresponding to the search criteria.
9. The system of claim 8 , wherein the operations further comprise identifying the plurality of programs based on the search criteria and generating the sorted list of programs based on the search criteria.
10. The system of claim 1 , wherein the operations further comprise monitoring a plurality of channels and the programs in the list of programs being displayed by the display device.
11. The system of claim 1 , wherein the operations further comprise multiplying an occurrence count utilized to determine the average occurrence account with a boost value.
12. The system of claim 1 , wherein the operations further comprise weighting the relevance ranking score based on the user profile and based on a different user profile.
13. A method, comprising:
computing, for a program, a relevance ranking score, wherein the relevance ranking score is computed by multiplying an average of occurrence counts for a plurality of terms associated with the program by a number of times the program is listed in a program guide;
adjusting, by utilizing instructions from a memory that are executed by a processor, the relevance ranking score for the program based on a user profile; and
generating, for display on a display device, a sorted list of programs including the program, wherein the sorted list is sorted based on the relevance ranking score for the program.
14. The method of claim 13 , further comprising calculating the average of occurrence counts for the plurality of terms associated with the program.
15. The method of claim 13 , further comprising identifying a different user profile having a similarity to the user profile based on a correlation metric.
16. The method of claim 15 , further comprising weighting the relevance ranking score based on the similarity between the different user profile and the user profile.
17. The method of claim 13 , further comprising adjusting the relevance ranking score based on a viewership rating.
18. The method of claim 13 , further comprising monitoring media selections made by a user to form the user profile.
19. The method of claim 13 , further comprising storing the relevance ranking score for the program.
20. A non-transitory medium including machine readable instructions which, when loaded and executed by a processor, cause the processor to perform operations, the operations comprising:
computing, for a program, a relevance ranking score, wherein the relevance ranking score is computed by multiplying an average of occurrence counts for a plurality of terms associated with the program by a number of times the program is listed in a program guide;
modifying the relevance ranking score for the program based on a user profile; and
generating, for display on a display device, a sorted list of programs including the program, wherein the sorted list is sorted based on the relevance ranking score for the program.