Automatic continued search

• US 9,910,885 B1
• Filed: 07/11/2016
• Issued: 03/06/2018
• Est. Priority Date: 06/04/2014
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Champaneria, Amay Nitin, Brewin, Frederick Peter, Raghunathan, Vivek, Lakshminarayanan, Karthik, Chennapragada, Aparna, Srikant, Ramakrishnan, Gupta, Vineet, Lischeske, Carl, Manjunatha, Mahesh Keralapura, Au, Carolyn, Guha, Ramanathan, Kolluri, Ravi, Bellver, Pablo, Panesar, Kiran, Dai, Andrew
• Primary Examiner(s): Dunn, Alex C
• Application Number:
  US15/206,547
• Time in Patent Office: 603 Days
• CPC Class Codes: G01C 21/20 Instruments for performing navigational calculations G01C21/24, G01C21/26 take precedence
• CPC Class Codes: G06F 16/23 Updating
• CPC Class Codes: G06F 16/2423 Interactive query statement specification based on a database schema
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/248 Presentation of query results
• CPC Class Codes: G06F 16/29 Geographical information databases
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: G06Q 10/025 Coordination of plural reservations, e.g. plural trip segments, transportation combined with accommodation

Abstract

Methods and apparatus for providing travel-related information for a location to a user based on activity indications of the user that are related to the location. The location may be determined based on a set of one or more related activity indications and a travel-related score may be determined for the location that is indicative of likelihood that the user has interest in travelling to the location. The user may be provided the travel-related information for the location based on the travel-related score.

Claims

1. A method implemented by one or more processors, comprising:

determining a feature based on one or more entities associated with computer-based activity indications of a user;

determining a score for the feature, wherein the score is indicative of likelihood that the user has interest in the feature;

identifying one or more attributes of the user;

determining a collection of information indications, wherein each of the information indications of the collection identifies information related to the feature, and wherein determining the collection of information indications comprises;

selecting one or more of the information indications of the collection based on the attributes of the user;

identifying a user interface activity indication that is initiated by a computing device of the user and that is unrelated to a search query submission by the user; and

providing the collection of information indications for display on the computing device based on the score satisfying a threshold and in response to the user interface activity indication.

2. The method of claim 1, further comprising:

providing a general information indication related to the feature based on the score, wherein the general information indication indicates the feature and the presence of additional information related to the feature;

wherein the user interface activity indication is a user selection of the general information indication via the computing device.

3. The method of claim 1, wherein selecting one or more of the information indications of the collection based on the attributes of the user comprises:

selecting the one or more of the information indications based on past utilization of the information indications by other users having the attributes.

4. The method of claim 1, wherein the attributes of the user include preferences of the user.

5. The method of claim 1, wherein determining the score for the feature is based on the attributes of the user.

6. The method of claim 1, wherein each of the information indications of the collection include one or more of:

a snippet from and a link to a document, directions, and a point of interest suggestion.

7. The method of claim 1, wherein determining the information indications of the collection further comprises:

identifying a plurality of documents related to the feature;

ranking the documents based on the attributes of the user; and

selecting one or more of the documents based on the ranking;

wherein selecting the one or more of the information indications of the collection based on the attributes of the user comprises determining the one or more of the information indications of the collection based on the selected one or more of the documents.

8. The method of claim 1, wherein an activity type of a given activity indication of the computer-based activity indications is a search query and wherein determining the score includes determining an activity time of the given activity indication based on a submission time of the search query and determining the score based on comparing the activity time with a current time.

9. The method of claim 1, wherein an activity type of a given activity indication of the computer-based activity indications is a web page access.

10. The method of claim 1, further comprising:

determining, from one or more of the computer-based activity indications, a time indicative of when the user has interest in interacting with the feature;

wherein determining the score for the feature is based on the time.

11. The method of claim 1, wherein the feature is a location.

12. A system comprising:

non-transitory memory storing instructions;

one or more hardware processors operable to execute the instructions stored in the memory, wherein the instructions comprise instructions to;

determine a feature based on one or more entities associated with computer-based activity indications of a user;

determine a score for the feature, wherein the score is indicative of likelihood that the user has interest in the feature;

identify one or more attributes of the user;

determine a collection of information indications, wherein each of the information indications of the collection identifies information related to the feature, and wherein the instructions to determine the collection of information indications comprise instructions to;

select one or more of the information indications of the collection based on the attributes of the user;

identify a user interface activity indication that is initiated by a computing device of the user and that is unrelated to a search query submission by the user; and

provide the collection of information indications for display on the computing device based on the score satisfying a threshold and in response to the user interface activity indication.

13. The system of claim 12, wherein the instructions further comprise instructions to:

provide a general information indication related to the feature based on the score, wherein the general information indication indicates the feature and the presence of additional information related to the feature;

wherein the user interface activity indication is a user selection of the general information indication via the computing device.

14. The system of claim 12, wherein the instructions to select one or more of the information indications of the collection based on the attributes of the user comprise instructions to:

select the one or more of the information indications based on past utilization of the information indications by other users having the attributes.

15. The system of claim 12, wherein the instructions to determine the information indications of the collection further comprise instructions to:

identify a plurality of documents related to the feature;

rank the documents based on the attributes of the user; and

select one or more of the documents based on the ranking;

wherein the instructions to select the one or more of the information indications of the collection based on the attributes of the user comprise instructions to determining the one or more of the information indications of the collection based on the selected one or more of the documents.

16. The system of claim 12, wherein an activity type of a given activity indication of the computer-based activity indications is a search query and wherein the instructions to determine the score comprise instructions to determine an activity time of the given activity indication based on a submission time of the search query and to determine the score based on comparing the activity time with a current time.

17. The system of claim 12, wherein an activity type of a given activity indication of the computer-based activity indications is a web page access.

18. The system of claim 12, wherein the instructions further comprise instructions to:

determine, from one or more of the computer-based activity indications, a time indicative of when the user has interest in interacting with the feature;

wherein determining the score for the feature is based on the time.

19. A non-transitory computer readable storage medium storing computer instructions executable by a processor to perform a method comprising:

determining a feature based on one or more entities associated with computer-based activity indications of a user;

determining a score for the feature, wherein the score is indicative of likelihood that the user has interest in the feature;

identifying one or more attributes of the user;

determining a collection of information indications, wherein each of the information indications of the collection identifies information related to the feature, and wherein determining the collection of information indications comprises;

selecting one or more of the information indications of the collection based on the attributes of the user;

identifying a user interface activity indication that is initiated by a computing device of the user and that is unrelated to a search query submission by the user; and

providing the collection of information indications for display on the computing device based on the score satisfying a threshold and in response to the user interface activity indication.