GENERATING TEXTUAL SUMMARY ABOUT PHYSICAL LOCATION BASED ON COMPUTING INTERACTIONS PERTAINING TO PHYSICAL LOCATION

• US 20160019238A1
• Filed: 10/01/2014
• Published: 01/21/2016
• Est. Priority Date: 07/16/2014
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Mazniker, Boris, Datar, Mayur
• Granted Patent: US 10,089,326 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G01C 21/3679 Retrieval, searching and output of POI information, e.g. hotels, restaurants, shops, filling stations, parking facilities G01C21/3611 takes precedence
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data

Abstract

Methods and apparatus for determining aspects of locations based on computing interactions of users that pertain to the locations. In some implementations, an aspect of a location may be determined based on comparing a first computing interaction measure for the location to a second measure. The first computing interaction measure may be determined based on a first group of computing interactions that pertain to the location. In some implementations, the second measure may be determined based on a second group of addition computing interactions. In some implementations, a textual summary may be generated automatically based on the first and/or second computing interaction measure, and/or based on the determined aspect.

Claims

1. A computer-implemented method, comprising:

identifying, from one or more databases, a first group of computing interactions that pertain to a physical location;

identifying, from the one or more databases, a second group of computing interactions that pertain to one or more additional physical locations, wherein the one or more additional physical locations satisfy one or more criteria;

determining a first computing interaction measure for the physical location based on the first group of computing interactions;

determining a second computing interaction measure for the one or more additional physical locations based on the second group of computing interactions; and

automatically generating a textual description of the physical location based on comparison of the first computing interaction measure to the second computing interaction measure.

2. The computer-implemented method of claim 1, wherein the one or more criteria comprise being located within a geographic area associated with the physical location.

3. The computer-implemented method of claim 2, further comprising selecting the geographic area based at least in part on a population or size of the geographic area.

4. The computer-implemented method of claim 1, wherein the one or more criteria comprise being associated with a particular price range.

5. The computer-implemented method of claim 4, further comprising defining the particular price range based on a price range associated with the physical location or a user preference.

6. The computer-implemented method of claim 1, wherein the one or more criteria comprise being associated with a particular category.

7. The computer-implemented method of claim 6, wherein the one or more criteria further comprise being located within a geographic area associated with the physical location.

8. The computer-implemented method of claim 1, wherein automatically generating the textual description of the physical location comprises including, in the textual description, an indication of a how the first computing interaction measure compares to the second computing interaction measure.

9. The computer-implemented method of claim 1, further comprising determining the one or more criteria based on contextual data associated with a user computing device.

10. The computer-implemented method of claim 9, wherein the contextual data includes a user search, performed on the user computing device, relating to physical locations that satisfy the one or more criteria.

11. The computer-implemented method of claim 9, wherein the contextual data includes a location of the user computing device.

12. The computer-implemented method of claim 9, wherein the contextual data includes a directional query performed on the user computing device.

13. A system including memory and one or more processors operable to execute instructions stored in memory, comprising instructions to:

determine, from one or more databases, a first group of computing interactions that pertain to a physical location;

determine, from the one or more databases, a second group of computing interactions that pertain to;

one or more additional physical locations that are in addition to the physical location, or

the physical location that are temporally distinct from the computing interactions of the first group; and

determine a first interaction measure for the physical location based on the first group;

determine a second interaction measure for the physical location based on the second group; and

automatically generate a textual description of the physical location based on comparison of the first computing interaction measure to the second computing interaction measure.

14. The system of claim 13, wherein the second group of computing interactions pertain to one or more physical locations that satisfy one or more criteria.

15. The system of claim 14, wherein the one or more criteria comprise being located within a geographic area associated with the physical location.

16. The system of claim 15, further comprising instructions to select the geographic area based at least in part on a population or size of the geographic area.

17. The system of claim 14, wherein the one or more criteria comprise being associated with a particular price range or with a particular category.

18. The system of claim 14, further comprising instructions to include, in the textual description, an indication of a how the first computing interaction measure compares to the second computing interaction measure.

19. The system of claim 14, further comprising instructions to determine the one or more criteria based on contextual data associated with a user computing device.

20. At least one non-transitory computer-readable medium comprising instructions that, in response to execution of the instructions by a computing system, cause the computing system to perform the following operations:

identifying, based on contextual data associated with a user or a computing device operated by the user, a physical location of potential interest to the user;

identifying, from one or more databases, a first group of computing interactions that pertain to the physical location of potential interest to the user;

identifying, from the one or more databases, a second group of computing interactions that pertain to one or more additional physical locations, wherein the one or more additional physical locations satisfy one or more criteria;

determining a first computing interaction measure for the physical location of potential interest to the user based on the first group of computing interactions;

determining a second computing interaction measure for the one or more additional physical locations based on the second group of computing interactions;

determining an aspect of the physical location of potential interest to the user based on the first and second computing interaction measures; and

automatically generating a textual description of the physical location based on the determined aspect.