Inferred user intention notifications

Patent metadata

Field	Value
Publication number	US-2016283845-A1
Application number	US-201514668572-A
Country	US
Kind code	A1
Filing date	Mar 25, 2015
Priority date	Mar 25, 2015
Publication date	Sep 29, 2016
Grant date	—

Abstract

In one example, a method includes receiving, by a computing system, context information associated with a computing device; inferring, by the computing system and based on the context information, an action of a user of the computing device, the action associated with at least one entity; determining, by the computing system and based on stored attribute information associated with the at least one entity, and based on a stored set of rules associated with the inferred action, that the inferred action is not advisable; and responsive to determining that the inferred action is not advisable, outputting, by the computing system and for display on the computing device, notification data indicating that the inferred action is not advisable.

First claim

1 . A method comprising:
receiving, by a computing system, context information associated with a computing device, wherein the context information includes an entity associated with one or more stored attributes; inferring, by the computing system and based on the context information, an intention of a user of the computing device, the inferred intention selected from a plurality of defined intentions, each defined intention associated with one or more stored rules by which the associated defined intention may be evaluated; evaluating, by the computing device, advisability of the inferred intention based on the one or more stored rules associated with the inferred intention and the one or more stored attributes associated with the entity; responsive to evaluating that the inferred intention is not advisable, outputting, by the computing system and for display, notification data indicating that the inferred intention is not advisable.

2 . The method of claim 1 , wherein the context information includes navigational data corresponding to movement of the computing device, the inferred intention of the user is to travel to a place of business, and further comprising:
determining, by the computing system and based on an hours of operation attribute associated with the place of business, and based on comparing a current time with the hours of operation attribute associated with the place of business, that the place of business is closed; and responsive to determining that the place of business is closed, outputting, by the computing system and for display on the computing device, notification data indicating that the place of business is closed.

3 . The method of claim 1 , wherein each rule in the one or more stored set of rules defines an operation by which advisability of the inferred intention may be evaluated with respect to the one or more stored attributes.

4 . The method of claim 1 , wherein the one or more stored set of rules includes comparing a current time with an hours of operation attribute associated with the entity.

5 . The method of claim 1 , wherein the context information further comprises at least one of location data associated with the computing device, a motion of the user, a biometric parameter associated with the user, weather data, an online interaction associated with the user, an image, a sound, a search query, and a navigation query.

6 . The method of claim 1 , wherein the context information is based on information received from an application of the computing device.

7 . (canceled)

8 . The method of claim 1 the inferred intention of the user is to place a telephone call to the place of business, and the notification indicates that the place of business is closed.

9 . (canceled)

10 . The method of claim 1 , wherein receiving context information comprises receiving, by the computing system, a navigation query, and inferring the intention of the user comprises inferring, by the computing system and based on one or more terms of the navigation query, that the intention of the user is to travel to the place of business.

11 . A computing system comprising:
one or more processors; at least one module executable by the one or more processors to:
receive context information associated with a user computing device, wherein the context information includes an entity associated with one or more stored attributes;
infer, based on the context information, an intention of a user of the user computing device, the inferred intention selected from a plurality of defined intentions, each defined intention, each defined intention associated with one or more stored rules by which the associated defined intention may be evaluated;
evaluate, by the computing device, advisability of the inferred intention based on the one or more stored rules associated with the inferred intention and the one or more stored attributes associated with the entity;
responsive to evaluating that the inferred intention is not advisable, output, by the computing system and for display, notification data indicating that the inferred intention is not advisable.

12 . The computing system of claim 11 , wherein
wherein the context information includes navigational data corresponding to movement of the computing device, the inferred intention of the user is to travel to a place of business, and wherein the at least one module is further executable by the one or more processors to: determine, by the computing system and based on an hours of operation attribute associated with the place of business, and based on comparing a current time with the hours of operation attribute associated with the place of business, that the place of business is closed; and responsive to determining that the place of business is closed, output, by the computing system and for display on the computing device, notification data indicating that the place of business is closed.

13 . The computing system of claim 11 , wherein each rule in the one or more stored rules defines an operation by which advisability of the inferred intention may be evaluated with respect to the one or more stored attributes.

14 . (canceled)

15 . The computing system of claim 11 , wherein the context information comprises at least one of location data associated with the computing device, motion data associated with computing device, a biometric parameter associated with the user, weather data, an online interaction associated with the user, an image, a sound, a search query, and a navigation query.

16 . The computing system of claim 11 , wherein the context information is based on information received from one of an internet browser, a mapping application, and a calendar application.

17 . (canceled)

18 . (canceled)

19 . (canceled)

20 . (canceled)

21 . The method of claim 1 wherein the navigational data is received from a GPS application running on the computing device.

22 . The method of claim 1 wherein the entity is a place of business inferred from past behaviors of the user associated with the user computing device and the navigational data.

23 . The method of claim 22 wherein the notification indicates that the place of business is not currently open for business.

24 . The method of claim 22 wherein the notification indicates that the inferred intention of the user is to travel to the place of business.

25 . The method of claim 1 , wherein the inferred intention of the user includes an intention to purchase a consumer product and the notification data indicates that the consumer product is subject to a current product recall.

Assignees

• Google Inc

Inventors

• Amarilio Tomer
• Ai Dennis
• Naim Oren

Classifications

• G06Q30/0202 Primary

  Market predictions or forecasting for commercial activities · CPC title

• G06N5/04 Primary

  Inference or reasoning models · CPC title

• G06Q30/02 Primary

  Marketing; Price estimation or determination; Fundraising · CPC title