Methods and apparatus to detect and rectify false set top box tuning data
Methods, apparatus, systems, and articles of manufacture are disclosed to rectify false set top box tuning data. Disclosed examples methods include identifying in return path data a first group of set top boxes classified as likely to exhibit machine events in tuning data of the return path data more frequently than a second group of set top boxes represented in the return path data. Additionally, in some examples, the method includes determining whether the first group of set top boxes includes a machine event based on a pattern of the tuning data in the return path data for respective ones of the first group of set top boxes and improving an accuracy of return path data by rectifying the machine event.
1. An apparatus to process return path data from set top boxes, the apparatus comprising:
a set top box identifier to identify, in the return path data, tuning data corresponding to a first group of set top boxes, the first group of set top boxes classified as associated with machine events;
a pattern evaluator to identify a first time interval of the tuning data, the first time interval of the tuning data including a portion of the tuning data defining a pattern indicative of an occurrence of at least one of the machine events associated with the first group of set top boxes, the first time interval being longer than a duration of the at least one of the machine events; and
a false tuning event rectifier to remove, from the return path data, the tuning data associated with the first time interval to reduce an amount of tuning events in the return path data that result from the machine events, the removed tuning data including both false tuning data and veridical tuning data contained in the return path data.
2. The apparatus of claim 1 , wherein the pattern evaluator is to identify a second time interval during which a difference between (i) a first percentage of tuning events attributed to the first group of the set top boxes in the return path data and (ii) a second percentage of tuning events attributed to a second group of the set top boxes in the return path data satisfies a threshold.
3. The apparatus of claim 2 , wherein the tuning data is first tuning data, and the false tuning event rectifier is to remove second tuning data associated with the second time interval from the return path data, the second tuning data corresponding to the first group of set top boxes.
4. The apparatus of claim 2 , wherein the threshold is to vary across different periods of time.
5. The apparatus of claim 1 , wherein the pattern is indicative of at least one feature activated machine event.
6. The apparatus of claim 5 , wherein the false tuning event rectifier is to identify the feature activated machine event based on a prerequisite of the feature activated machine event.
7. The apparatus of claim 1 , wherein the tuning data is first tuning data, the pattern evaluator is to:
determine a ratio between first tuning events, in the return path data, attributed to the first group of the set top boxes and second tuning events, in the return path data, attributed to a second group of the set top boxes; and
identify a second time interval of the return path data during which the ratio satisfies a threshold, the false tuning event rectifier to:
remove second tuning data associated with the second time interval from the return path data, the second tuning data corresponding to the first group of set top boxes.
8. A method to process return path data from set top boxes, the method comprising:
identifying, by executing an instruction with a processor, in the return path data tuning data corresponding to a first group of set top boxes, the first group of set top boxes classified as associated with machine events;
identifying, by executing an instruction with the processor, a first time interval of the tuning data, the first time interval of the tuning data including a portion of the tuning data defining a pattern indicative of an occurrence of at least one of the machine events associated with the first group of set top boxes, the first time interval being longer than a duration of the at least one of the machine events; and
removing, from the return path data, the tuning data associated with the first time interval to reduce an amount of tuning events in the return path data that result from the machine events, the removed tuning data including both false tuning data and veridical tuning data contained in the return path data.
9. The method of claim 8 , further including identifying a second time interval during which a difference between (i) a first percentage of tuning events attributed to the first group of the set top boxes in the return path data and (ii) a second percentage of tuning events attributed to a second group of the set top boxes in the return path data satisfies a threshold.
10. The method of claim 9 , wherein the tuning data is first tuning data, and further including removing second tuning data associated with the second time interval from the return path data, the second tuning data corresponding to the first group of set top boxes.
11. The method of claim 9 , wherein the threshold varies across different periods of time.
12. The method of claim 8 , wherein the pattern is indicative of at least one feature activated machine event.
13. The method of claim 12 , wherein the feature activated machine event is identified based on a prerequisite of the feature activated machine event.
14. The method of claim 8 , wherein the tuning data is first tuning data, and further including:
determining a ratio between first tuning events, in the return path data, attributed to the first group of the set top boxes and second tuning events, in the return path data, attributed to a second group of the set top boxes;
identifying a second time interval of the return path data during which the ratio satisfies a threshold; and
removing second tuning data associated with the second time interval from the return path data, the second tuning data corresponding to the first group of set top boxes.
15. A non-transitory computer readable medium comprising computer readable instructions which, when executed, cause a processor to at least:
identify, in return path data, tuning data corresponding to a first group of set top boxes, the first group of set top boxes classified as associated with machine events;
identify a first time interval of the tuning data, the first time interval of the tuning data including a portion of the tuning data defining a pattern indicative of an occurrence of at least one of the machine events associated with the first group of set top boxes, the first time interval being longer than a duration of the at least one of the machine events; and
remove, from the return path data, the tuning data associated with the first time interval to reduce an amount of tuning events in the return path data that result from the machine events, the removed tuning data including both false tuning data and veridical tuning data contained in the return path data.
16. The non-transitory computer readable medium of claim 15 , wherein the instructions cause the processor to identify a second time interval during which a difference between (i) a first percentage of tuning events attributed to the first group of the set top boxes in the return path data and (ii) a second percentage of tuning events attributed to a second group of the set top boxes in the return path data satisfies a threshold.
17. The non-transitory computer readable medium of claim 16 , wherein the tuning data is first tuning data, and the instructions cause the processor to remove second tuning data associated with the second time interval from the return path data, the second tuning data corresponding to the first group of set top boxes.
18. The non-transitory computer readable medium of claim 16 , wherein the threshold is to vary across different periods of time.
19. The non-transitory computer readable medium of claim 15 , wherein the pattern is indicative of at least one feature activated machine event.
20. The non-transitory computer readable medium of claim 15 , wherein the tuning data is first tuning data, and the instructions cause the processor to:
determine a ratio between first tuning events, in the return path data, attributed to the first group of the set top boxes and second tuning events, in the return path data, attributed to a second group of the set top boxes;
identify a second time interval of the return path data during which the ratio satisfies a threshold; and
remove second tuning data associated with the second time interval from the return path data, the second tuning data corresponding to the first group of set top boxes.
21. An apparatus comprising:
memory;
instructions; and
at least one processor to execute the instructions to:
identify, in return path data, tuning data corresponding to a first group of set top boxes, the first group of set top boxes classified as associated with machine events;
identify a first time interval of the tuning data, the first time interval of the tuning data including a portion of the tuning data defining a pattern indicative of an occurrence of at least one of the machine events associated with the first group of set top boxes, the first time interval being longer than a duration of the at least one of the machine events; and
remove, from the return path data, the tuning data associated with the first time interval to reduce an amount of tuning events in the return path data that result from the machine events, the removed tuning data including both false tuning data and veridical tuning data contained in the return path data.
22. The apparatus of claim 21 , wherein the at least one processor is to identify a second time interval during which a difference between (i) a first percentage of tuning events attributed to the first group of the set top boxes in the return path data and (ii) a second percentage of tuning events attributed to a second group of the set top boxes in the return path data satisfies a threshold.
23. The apparatus of claim 22 , wherein the tuning data is first tuning data, and the at least one processor is to remove second tuning data associated with the second time interval from the return path data, the second tuning data corresponding to the first group of set top boxes.
24. The apparatus of claim 22 , wherein the threshold is to vary across different periods of time.
25. The apparatus of claim 21 , wherein the pattern is indicative of at least one feature activated machine event.
26. The apparatus of claim 21 , wherein the tuning data is first tuning data, and the at least one processor is to:
determine a ratio between first tuning events, in the return path data, attributed to the first group of the set top boxes and second tuning events, in the return path data, attributed to a second group of the set top boxes;
identify a second time interval of the return path data during which the ratio satisfies a threshold; and
remove second tuning data associated with the second time interval from the return path data, the second tuning data corresponding to the first group of set top boxes.