Apparatus and Method for Determining the Quality or Accuracy of Reported Locations

• US 20150149091A1
• Filed: 11/25/2014
• Published: 05/28/2015
• Est. Priority Date: 11/25/2013
• Status: Abandoned Application

• Current Assignee: PlaceIQ, Inc.
• Original Assignee: PlaceIQ, Inc.
• Inventors: Milton, Stephen, McCall, Duncan
• Application Number:
  US14/553,422
• Publication Number:
  US 20150149091A1
• Time in Patent Office: Days
• US Class Current: 702/2
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

Provided is a process of ascertaining the accuracy of geolocations in a collection of location histories, the process including: obtaining a collection of location histories describing user geolocations, each location history including: a location-history identifier distinguishing the respective location history from other location histories among the collection of location histories, and time-stamped geolocation coordinates specifying geographic locations associated with a respective mobile computing device, the collection of location histories describing geolocations of a plurality of mobile computing; analyzing the collection of location histories by, at least in part, calculating one or more quality attributes of the collection of location histories indicative of differences between the collection of location histories and other collections of location histories known to be of adequate quality; calculating one or more quality scores based on the one or more quality attributes; and storing the one or more quality scores in memory.

Claims

1. A method of ascertaining the accuracy of geolocations in a collection of location histories, the method comprising:

obtaining a collection of location histories describing user geolocations over a duration of time exceeding 24 hours,

each location history including;

a location-history identifier distinguishing the respective location history from other location histories among the collection of location histories, and

time-stamped geolocation coordinates specifying geographic locations associated with a respective mobile computing device among a plurality of mobile computing devices each corresponding to at least one of the location histories,

the collection of location histories describing geolocations of the plurality of mobile computing devices over time;

analyzing, with one or more processors, the collection of location histories by, at least in part, calculating one or more quality attributes of the collection of location histories indicative of differences between the collection of location histories and other collections of location histories known to be of adequate quality;

calculating one or more quality scores based on the one or more quality attributes; and

storing the one or more quality scores in memory.

2. The method of claim 1, wherein analyzing the collection of location histories comprises:

recording a result of a visual inspection of the collection of location histories overlaid on a map;

quantifying an amount of difference between a uniform distribution of digits and a distribution of digits of geolocation coordinates in the collection of location histories;

quantifying an amount of significant digits of geolocation coordinates in the collection of location histories;

quantifying information efficiency of marginal digits of geolocation coordinates in the collection of location histories; and

quantifying a distribution of geolocations of each of a plurality of location histories among the collection of location histories.

3. The method of claim 2, wherein calculating one or more quality scores based on the one or more quality attributes comprises:

calculating an indicia of quality for the collection of location histories based on the quantified values.

4. The method of claim 1, wherein analyzing the collection of location histories comprises recording a result of a visual inspection of the collection of location histories overlaid on a map by performing steps comprising:

generating a map depicting at least some of the geolocation coordinates in at least a plurality of location histories among the collection of location histories;

displaying the map to a human reviewer;

receiving input from the human reviewer indicative of the quality of the collection;

determining that the input does not satisfy a threshold visual-inspection score; and

designating the collection of location histories as lacking in quality.

5. The method of claim 1, wherein analyzing the collection of location histories comprises quantifying an amount of difference between a uniform distribution of digits and a distribution of digits among geolocation coordinates in the collection of location histories.

6. The method of claim 5, wherein the distribution of digits among geolocation coordinates corresponds to a histogram indicative of an amount of times each digit between 0 and 9, inclusive of 0 and 9, appears in the geolocation coordinates at any of a plurality of positions more than a threshold number of characters after a character corresponding to a decimal point.

7. The method of claim 5, wherein quantifying the amount of difference between the uniform distribution of digits and the distribution of digits among geolocation coordinates comprises:

extracting latitude and longitude coordinate pairs from the location histories;

storing each coordinate in the extracted latitude and longitude coordinate pairs as a string;

detecting a position of a character corresponding to a decimal point in each string;

identifying a portion of each string that is more than a threshold number of characters after the detected position of the character corresponding to a decimal point;

counting, with a separate count for each of a plurality of digits, digit occurrences in the identified portion of each string, the separate counts for each of the plurality of digits being cumulative across multiple strings for multiple geolocation coordinates and multiple location histories;

determining a total amount of characters among the identified portions of the strings; and

quantifying the amount of difference between the uniform distribution of digits and the distribution of digits among geolocation coordinates based on both the total amount of characters among the identified portions of the strings and the separate counts for each of the plurality of digits.

8. The method of claim 1, wherein analyzing the collection of location histories comprises:

performing steps for calculating metrics based on a distribution of digits in the geographic coordinates.

9. The method of claim 1, wherein analyzing the collection of location histories comprises:

comparing a two-dimensional uniform distribution of single-digit pairs (x, y), where x and y are each numbers between 0 and 9, inclusive of 0 and 9, to a distribution of single-digit pairs from at least part of each of the geolocation coordinate pairs, the single-digit pairs from at least part of each of the geolocation coordinate pairs being pairs of digits, one from each coordinate in a respective geolocation coordinate pair, and each residing at the same position in the respective coordinate in the respective geolocation coordinate pair.

10. The method of claim 1, wherein analyzing the collection of location histories comprises:

calculating, as a quality attribute among the one or more quality attributes, a Kullback-Leibler divergence between a distribution of digits among the geolocation coordinates and a reference distribution.

11. The method of claim 1, wherein analyzing the collection of location histories comprises:

quantifying an amount of significant digits among geolocation coordinates in the collection of location histories.

12. The method of claim 1, wherein analyzing the collection of location histories comprises:

for each of at least a plurality of the geolocation coordinates, counting a number of significant digits in each coordinate of a respective geolocation coordinate pair;

identifying one coordinate of the respective geolocation coordinate pairs as having more significant digits than the other coordinate of the respective geolocation coordinate pairs; and

calculate a measure of central tendency of the amount of significant digits of the identified coordinates.

13. The method of claim 12, comprising:

determining that the measure of central tendency of the amount of significant digits of the identified coordinates exceeds a benchmark threshold; and

in response to the determination, capping the measure of central tendency of the amount of significant digits of the identified coordinates.

14. The method of claim 1, wherein analyzing the collection of location histories comprises:

performing steps for measuring location-history quality based on a number of significant digits with which the geolocation coordinates in the collection of location histories are reported.

15. The method of claim 1, wherein analyzing the collection of location histories comprises:

quantifying information efficiency of marginal digits of geolocation coordinates in the collection of location histories.

16. The method of claim 15, wherein quantifying information efficiency of marginal digits of geolocation coordinates in the collection of location histories comprises:

truncating digits more than a first threshold number of positions from a decimal point in the geolocation coordinates to form a first set of truncated geolocation coordinates;

calculating an first entropy based on the first set of truncated geolocation coordinates;

truncating digits more than a second threshold number of positions from a decimal point in the geolocation coordinates to form a second of truncated geolocation coordinates, wherein the first threshold number of positions is different from the second threshold number of positions;

calculating a second entropy based on the second set of truncated geolocation coordinates; and

calculating an information-efficiency gain based on the first entropy and the second entropy.

17. The method of claim 1, wherein analyzing the collection of location histories comprises:

performing steps for measuring how much information is gained as a progression through a zoom stack of the geolocation coordinates adds additional digits to the geolocation coordinates.

18. The method of claim 1, wherein analyzing the collection of location histories comprises:

quantifying a distribution of geolocations of each of a plurality of location histories among the collection of location histories by, at least in part, for each of the plurality of location histories, ascertaining an amount of geolocation clusters that appear in the respective location history.

19. The method of claim 18, comprising:

for each geolocation cluster, determining which geolocation coordinates in the cluster have a threshold amount of other geolocations within a threshold distance and identifying those geolocation coordinates as non-border geolocations;

counting an amount of non-border geolocations in each geolocation cluster; and

calculating a measure of cluster robustness based on both the count of the amount of non-border geolocations and a total number of geolocation coordinates in a corresponding location history.

20. The method of claim 18, comprising:

calculating a measure of cluster tightness based on distances between the clusters and areas or volumes occupied by the clusters.

21. The method of claim 18, comprising:

performing steps for measuring a clustering attribute.

22. The method of claim 1, comprising:

performing steps for distinguishing real-life human behavior and habits from artifacts from low-quality and low-accuracy means of determining or reporting geolocations.

23. The method of claim 1, wherein calculating one or more quality scores based on the one or more quality attributes comprises:

calculating a score based on an amount of clusters in each location history and an amount of geolocation coordinates in each cluster that have more than a threshold amount of geolocation coordinates within a threshold distance to the respective geolocation coordinate.

24. The method of claim 1, wherein the collection of location histories comprise geolocations included in ad requests from a single ad network, and wherein the quality scores are indicative of the quality of geolocations reported by the single ad network.

25. The method of claim 24, comprising:

after storing the one or more quality scores in memory, receiving an ad request associated with the single ad network, the ad request including a geolocation at which the ad will be presented;

calculating a bid amount based on the one or more quality scores and the geolocation at which the ad will be presented;

submitting a bid including the calculated bid amount;

receiving an indication that the bid was accepted; and

causing an advertisement to be served responsive to the ad request.

26. A system, comprising:

one or more processors; and

memory storing instructions that when executed by at least some of the one or more processors effectuate operations comprising;

obtaining a collection of location histories describing user geolocations over a duration of time exceeding 24 hours,

each location history including;

a location-history identifier distinguishing the respective location history from other location histories among the collection of location histories, and

time-stamped geolocation coordinates specifying geographic locations associated with a respective mobile computing device among a plurality of mobile computing devices each corresponding to at least one of the location histories,

the collection of location histories describing geolocations of the plurality of mobile computing devices over time;

analyzing the collection of location histories by, at least in part, calculating one or more quality attributes of the collection of location histories indicative of differences between the collection of location histories and other collections of location histories known to be of adequate quality;

calculating one or more quality scores based on the one or more quality attributes; and

storing the one or more quality scores in the memory.