INFERRING USER INTERESTS

• US 20140057659A1
• Filed: 10/31/2013
• Published: 02/27/2014
• Est. Priority Date: 06/22/2012
• Status: Abandoned Application

• Current Assignee: Google Inc. (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Udeshi, Tushar, Yang, Guang, Kirmse, Andrew, Bellver, Pablo
• Application Number:
  US14/068,860
• Publication Number:
  US 20140057659A1
• Time in Patent Office: Days
• US Class Current: 455/456.3
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

Techniques are disclosed herein for inferring user interests and serving recommendations to the user. An example for serving recommendations based on inferred user interests is described. The example includes receiving a plurality of location data points for a user, the location data points including a geographic position and a time, and storing the location data points in a data store. The location data points are processed using a processor in communication with the data store to generate visited place data for the user where the visited place data represents a location visited by the user, a category of the location visited, and a time. A histogram of the visited place data is built across categories of locations visited and the histogram is stored in the data store. Recommendations are then served to the user within a category represented on the histogram.

Claims

1. A method comprising:

receiving, by a computing device, location history indicating a plurality of locations at which a mobile computing device was present and, for each respective location from the plurality of locations, a respective time at which the mobile computing device was present at the respective location, wherein each location from the plurality of locations is associated with at least one of one or more location categories;

generating, by the computing device, based on the location history, a histogram representing a number of instances, over time, at which the mobile computing device was present at respective locations associated with respective location categories from the one or more location categories;

automatically generating, by the computing device, based on the histogram, a recommendation associated with a particular location category from the one or more location categories represented within the histogram; and

sending, by the computing device, to a computing device associated with a user, information associated with the recommendation.

2. The method of claim 1, wherein automatically generating the recommendation is based at least in part on the respective times at which the mobile computing device was present at those locations of the plurality of locations associated with the particular location category.

3. The method of claim 1, further comprising generating the location history at least in part by clustering locations at which the mobile computing device was present so as to identify a single geographic position representing a single location, based on the clustered locations, at which the mobile computing device was present.

4. The method of claim 1, further comprising performing a local search based on a specific geographical area to determine a location category for a particular location from the plurality of locations.

5. The method of claim 1, wherein receiving location history comprises receiving check-in data representing a user indication that the user of the mobile computing device was present at a particular place.

6. The method of claim 1, wherein generating the histogram includes sorting the plurality of locations by location category and sorting the plurality of locations by, for each respective location category, 1) a number of instances at which the mobile computing device was present at respective locations from the plurality of locations associated with the respective location category and 2) a respective time at which the mobile computing device was present at each location from the plurality of locations associated with the particular location category.

7. The method of claim 1, wherein generating the histogram includes sorting the locations at which the mobile computing device was present based on a timeframe of a week.

8. The method of claim 7, further comprising assigning the locations at which the mobile computing device was present to two hour timeslots of the histogram within the week.

9. The method of claim 1, wherein automatically generating the recommendation comprises determining a current location of the mobile computing device and performing a local search within a specific geographical area, based on the current location, for places within a location category for recommendation.

10. The method of claim 1, further comprising:

reviewing a query log database associated with the user of the mobile computing device to determine user searches and selections of search results that fall into a location category represented within the histogram, and

adding data to the histogram indicating a number of searches and a number of selections of search results that fall into the location category.

11. The method of claim 1, further comprising filtering the plurality of locations to include locations that are within a threshold distance from the user'"'"'s home location and to exclude locations that are greater than the threshold distance from the user'"'"'s home location, wherein generating the histogram comprises generating the histogram based on the filtering.

12. The method of claim 1, wherein automatically generating the recommendation comprises determining a current location of the mobile computing device and performing a local search based on the current location for places associated with a particular location category for recommendation.

13. The method of claim 1, wherein the computing device associated with the user comprises a computing device associated with a user of the mobile computing device.

14. The method of claim 1, wherein the computing device associated with the user comprises the mobile computing device.

15. A computing device comprising:

at least one processor; and

at least one module operable by the at least one processor to;

receive location history indicating a plurality of locations at which a mobile computing device was present and, for each respective location from the plurality of locations, a respective time at which the mobile computing device was present at the respective location, wherein each location from the plurality of locations is associated with at least one of the one or more location categories;

generate, based on the location history, a histogram representing a number of instances, over time, at which the mobile computing device was present at respective locations associated with respective location categories from the one or more location categories; and

automatically generate, based on the histogram, a recommendation associated with a particular location category from the one or more location categories represented within the histogram.

16. The computing device of claim 15 wherein the at least one module is further operable by the at least one processor to:

send, to a computing device associated with a user, the recommendation.

17. The computing device of claim 16, wherein the computing device associated with the user comprises a computing device associated with a user of the mobile computing device.

18. The computing device of claim 16, wherein the computing device associated with the user comprises the mobile computing device.

19. The computing device of claim 15, wherein the at least one module is further operable by the at least one processor to:

perform a local search based on a specific geographic area to determine a particular location category for a location from the plurality of locations.

20. The computing device of claim 15, wherein the at least one module is further operable by the at least one processor to:

filter the plurality of locations to include locations that are within a threshold distance from a user'"'"'s home location and to exclude locations that are greater than the threshold distance from the user'"'"'s home location, wherein generating the histogram comprises generating the histogram based on the filtering.

21. The computing device of claim 15, wherein the at least one module is further operable by the at least one processor to:

assign the locations at which the mobile computing device was present to two hour timeslots of the histogram within a week.

22. The computing device of claim 15, wherein the at least one module is further operable by the at least one processor to review a query log database associated with a user of the mobile computing device to determine user searches and selections of search results that fall into a location category that corresponds to a location category represented within the histogram, and to add data to the histogram indicating a number of searches and a number of selections of search results that fall into the location category.

23. A computer-readable storage medium storing instructions that, when executed, cause at least one processor of a computing device to:

receive location history indicating a plurality of locations at which a mobile computing device was present and, for each respective location from the plurality of locations, a respective time at which the mobile computing device was present at the respective location, wherein each location from the plurality of locations is associated with at least one of the one or more location categories;

generate, based on the location history, a histogram representing a number of instances, over time, at which the mobile computing device was present at respective locations associated with respective location categories from the or more location categories;

automatically generate, based on the histogram, a recommendation associated with a particular location category from the one or more location categories represented within the histogram; and

send, to a computing device associated with a user, information associated with the recommendation.

24. The computer-readable storage medium of claim 23, wherein the instructions further cause the at least one processor of the computing device to:

perform a local search within a specific geographical area to determine a location category for a location from the plurality of locations.

25. The computer-readable storage medium of claim 23, wherein the instructions further cause the at least one processor of the computing device to:

filter the plurality of locations to include locations that are within a threshold distance from a user'"'"'s home location and to exclude locations that are greater than the threshold distance from the user'"'"'s home location, wherein generating the histogram comprises generating the histogram based on the filtering.

26. The computer-readable storage medium of claim 23, wherein the instructions further cause the at least one processor of the computing device to:

review a query log database associated with a user of the mobile computing device to determine user searches and selections of search results that fall into a location category that corresponds to a location category represented on the histogram, and adding data to the histogram indicating a number of searches and a number of selections of search results that fall into the location category.