Determining intent of a recommendation on a mobile application

Patent metadata

Field	Value
Publication number	US-9892469-B2
Application number	US-201213451351-A
Country	US
Kind code	B2
Filing date	Apr 19, 2012
Priority date	Oct 11, 2011
Publication date	Feb 13, 2018
Grant date	Feb 13, 2018

Abstract

Methods and systems are provided for determining the intent of a recommendation made by a user of a mobile application where the application includes a plurality of separable components, any one or more of which the recommendation can apply to. An application in which a user recommendation control is provided for presentation to a user also includes a tag indicating how a recommendation of the application should be interpreted with respect to the components included therein. The tag can be set by the application developer and can be in the form of text (e.g., a keyword or term) or a uniform resource locator (URL). Where a tag references multiple components of an application, a recommending user can be presented with a recommendation intent query. The recommendation intent query allows a user to designate one or more components of the application to which the user's recommendation should be attributed.

First claim

We claim:

1. A computer-implemented method, comprising:
identifying, by one or more computing devices, a plurality of content component identifiers for an application running on a user computing device, each of the plurality of content component identifiers identifying a respective one of a plurality of separate content components presented by the application, wherein the plurality of separate content components include at least two different types of content including portions of text, media, images, or chat interfaces that are simultaneously presented within the application;
receiving, by the one or more computing devices and through a first user interface of the application, an indication that a user recommended the application that is running on the user computing device and that presents the plurality of separate content components simultaneously;
in response to receiving the indication that the user recommended the application:
generating, by the one or more computing devices and in response to receiving the indication, a recommendation intent query in a second user interface, wherein the generated recommendation intent query:
presents a list of the plurality of content component identifiers of the plurality of separate content components that were simultaneously presented by the application when the user recommended the application; and
enables the user to choose, from the list of the plurality of content component identifiers, a given content component identifier that identifies a given content component that contributed to the user recommendation of the application; and

transmitting the recommendation intent query for presentation at the user computing device;

receiving, in response to presentation of the recommendation intent query and from the user computing device that presents the second user interface, an indication of user selection of at least one of the plurality of content component identifiers from the list of the plurality of content component identifiers that were presented by the recommendation intent query;
generating, by the one or more computing devices and based on the user recommendation of the application by the user and the user selection of the at least one of the plurality of content component identifiers, a social annotation that communicates the recommendation of the application and any of the plurality of separate content components of the application that the user selected, from the list of the plurality of content component identifiers, as having contributed to the user recommendation of the application; and
serving, by the one or more computing devices and via a network, the at least one social annotation to a second user computing device in a format suitable for presentation on the second user computing device.

2. The method of claim 1 , wherein the at least one social annotation served to the second user computing device identifies a specific one of the plurality of separate content components of the application that contributed to the recommendation of the application by the user.

3. The method of claim 1 , further comprising:
generating, by the one or more computing devices, at least one component reference table based on the plurality of content component identifiers, the at least one component reference table including, for each of the plurality of content component identifiers, which of the plurality of separate content components of the application is identified by the content component identifier;
storing, by the one or more computing devices, the at least one component reference table for the application; and
mapping, by the one or more computing devices, each of the plurality of separate content components to a respective one of the plurality of content component identifiers included in the at least one component reference table to the application.

4. A system, comprising:
at least one processor; and
a computer-readable medium coupled to the at least one processor having instructions stored thereon which, when executed by the at least one processor, cause the at least one processor to:
identify, by one or more computing devices, a plurality of content component identifiers for an application running on a user computing device, each of the plurality of content component identifiers identifying a respective one of a plurality of separate content components presented by the application, wherein the plurality of separate content components include at least two different types of content including portions of text, media, images, or chat interfaces that are simultaneously presented within the application;
receive, by the one or more computing devices and through a first user interface of the application, an indication that a user recommended the application that is running on the user computing device and that presents the plurality of separate content components simultaneously;
in response to receiving the indication that the user recommended the application:
generate, by the one or more computing devices and in response to receiving the indication, a recommendation intent query in a second user interface, wherein the generated recommendation intent query:
presents a list of the plurality of content component identifiers of the plurality of separate content components that were simultaneously presented by the application when the user recommended the application; and
enables the user to choose, from the list of the plurality of content component identifiers, a given content component identifier that identifies a given content component that contributed to the user recommendation of the application; and

transmit the recommendation intent query for presentation at the user computing device;

receive, in response to presentation of the recommendation intent query and from the user computing device that presents the second user interface, an indication of user selection of at least one of the plurality of content component identifiers from the list of the plurality of content component identifiers that were presented by the recommendation intent query;
generate, by the one or more computing devices and based on the user recommendation of the application by the user and the user selection of the at least one of the plurality of content component identifiers, a social annotation that communicates the recommendation of the application and any of the plurality of separate content components of the application that the user selected, from the list of the plurality of content component identifiers, as having contributed to the user recommendation of the application; and
serve, by the one or more computing devices and via a network, the at least one social annotation to a second user computing device in a format suitable for presentation on the second user computing device.

5. The system of claim 4 , wherein the at least one social annotation served to the second user computing device identifies a specific one of the plurality of separate content components of the application that contributed to the recommendation of the application by the user.

6. The system of claim 4 , wherein the at least one processor is further caused to:
generate, by the one or more computing devices, at least one component reference table based on the plurality of content component identifiers, the at least one component reference table including, for each of the plurality of content component identifiers, which of the plurality of separate content components of the application is identified by the content component identifier;
store, by the one or more computing devices, the at least one component reference table for the application; and
map, by the one or more computing devices, each of the plurality of separate content components to a respective one of the plural

Assignees

• Pattan Neha
• Lin Jennifer W
• Google Inc

Inventors

• Pattan Neha
• Lin Jennifer W

Classifications

• G06Q10/40 Primary

  Business processes related to social networking or social networking services · CPC title

• G06Q50/01 Primary

  Physics · mapped topic