PREDICTIVELY PRESENTING SEARCH CAPABILITIES

• US 20160335290A1
• Filed: 07/28/2016
• Published: 11/17/2016
• Est. Priority Date: 12/05/2012
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Jenkins, Thomas
• Granted Patent: US 11,080,328 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/252 between a Database Management System and a front-end application
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 16/5866 using information manually generated, e.g. tags, keywords, comments, manually generated location and time information
• CPC Class Codes: G06F 16/587 using geographical or spatial information, e.g. location
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
• CPC Class Codes: G06F 21/6263 during internet communication, e.g. revealing personal data from cookies
• CPC Class Codes: G06F 3/0484 for the control of specific functions or operations, e.g. selecting or manipulating an object, an image or a displayed text element, setting a parameter value or selecting a range
• CPC Class Codes: G06N 5/022 Knowledge engineering; Knowledge acquisition
• CPC Class Codes: H04W 4/023 using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds

Abstract

Example techniques and systems may obtain one or more search types associated with a geographic location of a computing device. In one example, a technique may include determining, by a mobile computing device, a geographic location of the mobile computing device and obtaining one or more search types associated with the geographic location. Responsive to obtaining the one or more search types, the technique may also include outputting, by the mobile computing device and for display, a graphical user interface comprising at least an indication of the one or more search types associated with the geographic location.

Claims

1. (canceled)

2. A computer-implemented method comprising:

before a user has initiated an image-based search;

obtaining data indicating a current context associated with a mobile device,

obtaining data indicating a particular image-based search type, from among multiple candidate image-based search types, that is identified by a predictive model as likely relevant to the current context, and

providing a user interface including a control for initiating an image-based search of the particular image-based search type that is identified by the predictive model as likely relevant to the current context.

3. The computer-implemented method of claim 2, wherein the user interface further comprises an additional control for selecting particular data to be transmitted for the image-based search.

4. The computer-implemented method of claim 2, wherein the user interface further comprises an additional control for restricting the mobile device from transmitting personally identifiable information of the user for the image-based search.

5. The computer-implemented method of claim 2, wherein the user interface further comprises an additional control for identifying the particular image-based search type based on one or more inputs at the user interface.

6. The computer-implemented method of claim 2, further comprising:

determining a geographic location of the mobile device;

determining that the geographic location of the mobile device does not satisfy a threshold distance from a location associated with the particular image-based search type;

withholding the particular image-based search type; and

providing an error message at the user interface.

7. The computer-implemented method of claim 2, wherein the current context associated with the mobile device includes one or more of a geographic location of the mobile device among a set of whitelist locations, a current time, a calendar event, a day of the week, a month, a season, and a year.

8. The computer-implemented method of claim 2, wherein the particular image-based search type includes one or more of a barcode scanning capability, a quick response code scanning capability, an image recognizer capability, and an optical character recognition capability.

9. The computer-implemented method of claim 2, wherein the particular image-based search type that is identified by the predictive model as likely relevant to the current context corresponds to a particular search engine.

10. A system comprising:

one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, to cause the one or more computers to perform operations comprising;

before a user has initiated an image-based search;

obtaining data indicating a current context associated with a mobile device,

obtaining data indicating a particular image-based search type, from among multiple candidate image-based search types, that is identified by a predictive model as likely relevant to the current context, and

providing a user interface including a control for initiating an image-based search of the particular image-based search type that is identified by the predictive model as likely relevant to the current context.

11. The system of claim 10, wherein the user interface further comprises an additional control for selecting particular data to be transmitted for the image-based search.

12. The system of claim 10, wherein the user interface further comprises an additional control for restricting the mobile device from transmitting personally identifiable information of the user for the image-based search.

13. The system of claim 10, wherein the user interface further comprises an additional control for identifying the particular image-based search type based on one or more inputs at the user interface.

14. The system of claim 10, wherein the operations further comprise:

determining a geographic location of the mobile device;

determining that the geographic location of the mobile device does not satisfy a threshold distance from a location associated with the particular image-based search type;

withholding the particular image-based search type; and

providing an error message at the user interface.

15. The system of claim 10, wherein the current context associated with the mobile device includes one or more of a geographic location of the mobile device among a set of whitelist locations, a current time, a calendar event, a day of the week, a month, a season, and a year.

16. The system of claim 10, wherein the particular image-based search type includes one or more of a barcode scanning capability, a quick response code scanning capability, an image recognizer capability, and an optical character recognition capability.

17. The system of claim 10, wherein the particular image-based search type that is identified by the predictive model as likely relevant to the current context corresponds to a particular search engine.

18. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising:

before initiating an image-based search;

obtaining data indicating a current context associated with a mobile device,

obtaining data indicating a particular image-based search type, from among multiple candidate image-based search types, that is identified by a predictive model as likely relevant to the current context, and

providing a user interface including a control for initiating an image-based search of the particular image-based search type that is identified by the predictive model as likely relevant to the current context.

19. The non-transitory computer-readable medium of claim 18, wherein the user interface further comprises an additional control for selecting particular data to be transmitted for the image-based search.

20. The non-transitory computer-readable medium of claim 18, wherein the user interface further comprises an additional control for restricting the mobile device from transmitting personally identifiable information of the user for the image-based search.

21. The non-transitory computer-readable medium of claim 18, wherein the user interface further comprises an additional control for identifying the particular image-based search type based on one or more inputs at the user interface.