Generating textual summary about physical location based on computing interactions pertaining to physical location

Patent metadata

Field	Value
Publication number	US-2016019238-A1
Application number	US-201414504018-A
Country	US
Kind code	A1
Filing date	Oct 1, 2014
Priority date	Jul 16, 2014
Publication date	Jan 21, 2016
Grant date	—

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.

First claim

What is claimed is:

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.

Assignees

• Google Inc

Inventors

• Mazniker Boris
• Datar Mayur

Classifications

• G06Q30/0201 Primary

  Market modelling; Market analysis; Collecting market data · CPC title

• G06F17/30241 Primary

  Physics · mapped topic

• G06F17/3087

  Physics · mapped topic

• G01C21/3679

  Retrieval, searching and output of POI information, e.g. hotels, restaurants, shops, filling stations, parking facilities (G01C21/3611 takes precedence) · CPC title

• G06F16/9537

  Spatial or temporal dependent retrieval, e.g. spatiotemporal queries · CPC title