Methods, systems, and media for personalizing computerized services based on mood and/or behavior information from multiple data sources

• US 10,223,459 B2
• Filed: 02/11/2015
• Issued: 03/05/2019
• Est. Priority Date: 02/11/2015
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google LLC (Alphabet Inc.)
• Inventors: Liu, Eric H C, Goran, Charles
• Primary Examiner(s): Pham, Tuan A
• Assistant Examiner(s): Dang, Thai V
• Application Number:
  US14/619,863
• Publication Number:
  US 20160232244A1
• Time in Patent Office: 1,483 Days
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 2203/011 Emotion or mood input determined on the basis of sensed human body parameters such as pulse, heart rate or beat, temperature of skin, facial expressions, iris, voice pitch, brain activity patterns
• CPC Class Codes: G06F 3/011 Arrangements for interaction with the human body, e.g. for user immersion in virtual reality blind teaching G09B21/00
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0282 Rating or review of business operators or products

Abstract

Methods, systems, and media for personalizing computerized services based on mood and/or behavior information from multiple data sources are provided. In some implementations, the method comprises: obtaining information associated with an objective of a user of a computing device from multiple data sources; determining that a portion of information from each of the data sources is relevant to the user having the objective, wherein the portion of information is indicative of a physical or emotional state of the user of the computing device; assigning the user of the computing device into a group of users based at least in part on the objective and the portion of information from each of the data sources; determining a target profile associated with the user based at least in part on the objective and the assigned group; generating a current profile for the user of the computing device based on the portion of information from each of the data sources; comparing the current profile with the target profile to determine a recommended action, wherein the recommended action is determined to have a likelihood of impacting the physical or emotional state of the user; determining one or more devices connected to the computing device, wherein each of the one or more devices has one or more device capabilities; and causing the recommended action to be executed on one or more of the computing device and the devices connected to the computing device based on the one or more device capabilities.

Claims

1. A method for personalizing computerized services, the method comprising:

obtaining information associated with a user of a computing device from a plurality of data sources;

determining, using a hardware processor, that a portion of information from each of the plurality of data sources is relevant to the user having a desire to attain a particular goal from a plurality of goals, wherein the portion of information is indicative of a physical or emotional state of the user of the computing device;

generating, using the hardware processor, a baseline profile of the user and the desire to attain the particular goal using the portion of information from each of the plurality of data sources;

assigning, using the hardware processor, the user of the computing device into a group of users from a plurality of groups based at least in part on the particular goal and the portion of information from each of the plurality of data sources, wherein the group of users is associated with an indication that the group has achieved the particular goal and wherein each user in the group of users has a similar baseline profile to the baseline profile of the user;

determining, using the hardware processor, a target profile associated with the user based at least in part on the particular goal and the assigned group;

updating, using the hardware processor, a baseline profile with a current profile for the user of the computing device based on the portion of information from each of the plurality of data sources;

comparing, using the hardware processor, the current profile with the target profile to determine a recommended action, wherein the recommended action is associated with a predicted impact on the physical or emotional state of the user and is determined to continue to advance the current profile toward the target profile, wherein the recommended action is associated with a rating;

determining, using the hardware processor, one or more devices connected to the computing device, wherein each of the one or more devices has one or more device capabilities;

causing, using the hardware processor, the recommended action to be executed on one or more of the computing device and the devices connected to the computing device based on the one or more device capabilities being able to execute the recommended action;

determining, using the hardware processor, that the recommended action has caused the current profile of the user to move towards the target profile; and

modifying, using the hardware processor, the rating associated with the recommended action to indicate that the recommended action has caused the current profile of the user to move towards the target profile.

2. The method of claim 1, wherein the information includes social information, device information, and contextual information relating to the user of the computing device.

3. The method of claim 1, further comprising:

receiving updated information from each of the plurality of data sources; and

generating the current profile for the user of the computing device based on the updated information.

4. The method of claim 1, wherein the target profile is selected from a plurality of target profiles, wherein the target profile includes users in a similar group of users that have indicated the identified goal has been accomplished, and wherein the recommended action includes an action performed by the users associated with the target profile.

5. The method of claim 1, wherein the recommended action includes generating content to be presented on the computing device that prompts the user to engage in an activity and causing the content to be presented on the computing device.

6. The method of claim 1, wherein the information associated with the user of the computing device includes location information associated with the computing device and wherein the method further comprises:

determining a plurality of output devices based on the location information, wherein each of the plurality of output devices has a capability to execute the recommended selecting an output device from the plurality of output devices; and

transmitting an instruction to the selected output device to execute the recommended action.

7. The method of claim 1, further comprising:

determining whether to continue to cause the recommended action to be executed.

8. The method of claim 1, further comprising:

retrieving the rating associated with the recommended action.

9. A system for personalizing computerized services, the system comprising:

a hardware processor that;

obtains information associated with a user of a computing device from a plurality of data sources;

determines that a portion of information from each of the plurality of data sources is relevant to the user having a desire to attain a particular goal from a plurality of goals, wherein the portion of information is indicative of a physical or emotional state of the user of the computing device;

generates a baseline profile of the user and the desire to attain the particular goal using the portion of information from each of the plurality of data sources;

assigns the user of the computing device into a group of users from a plurality of groups based at least in part on particular goal and the portion of information from each of the plurality of data sources, wherein the group of users is associated with an indication that the group has achieved the particular goal and wherein each user in the group of users has a similar baseline profile to the baseline profile of the user;

determines a target profile associated with the user based at least in part on the particular goal and the assigned group;

updates a baseline profile with a current profile for the user of the computing device based on the portion of information from each of the plurality of data sources;

compares the current profile with the target profile to determine a recommended action, wherein the recommended action is associated with a predicted impact on the physical or emotional state of the user and is determined to continue to advance the current profile toward the target profile, wherein the recommended action is associated with a rating;

determines one or more devices connected to the computing device, wherein each of the one or more devices has one or more device capabilities;

causes the recommended action to be executed on one or more of the computing device and the devices connected to the computing device based on the one or more device capabilities being able to execute the recommended action;

determines that the recommended action has caused the current profile of the user to move towards the target profile; and

modifies the rating associated with the recommended action to indicate that the recommended action has caused the current profile of the user to move towards the target profile.

10. The system of claim 9, wherein the information includes social information, device information, and contextual information relating to the user of the computing device.

11. The system of claim 9, wherein the hardware processor is further configured to:

receive updated information from each of the plurality of data sources; and

generate the current profile for the user of the computing device based on the updated information.

12. The system of claim 9, wherein the target profile is selected from a plurality of target profiles, wherein the target profile includes users in a similar group of users that have indicated the identified goal has been accomplished, and wherein the recommended action includes an action performed by the users associated with the target profile.

13. The system of claim 9, wherein the recommended action includes generating content to be presented on the computing device that prompts the user to engage in an activity and causing the content to be presented on the computing device.

14. The system of claim 9, wherein the information associated with the user of the computing device includes location information associated with the computing device and wherein the hardware processor is further configured to:

determine a plurality of output devices based on the location information, wherein each of the plurality of output devices has a capability to execute the recommended action;

select an output device from the plurality of output devices; and

transmit an instruction to the selected output device to execute the recommended action.

15. The system of claim 9, wherein the hardware processor is further configured to:

determine whether to continue to cause the recommended action to be executed.

16. The system of claim 9, wherein the hardware processor is further configured to:

retrieve the rating associated with the recommended action.

17. A non-transitory computer-readable medium containing computer executable instructions that, when executed by a processor, cause the processor to perform a method for personalizing computerized services, the method comprising:

obtaining information associated with a user of a computing device from a plurality of data sources;

determining that a portion of information from each of the plurality of data sources is relevant to the user having a desire to attain a particular goal from a plurality of goals, wherein the portion of information is indicative of a physical or emotional state of the user of the computing device;

generating, using the hardware processor, a baseline profile of the user and the desire to attain the particular goal using the portion of information from each of the plurality of data sources;

assigning the user of the computing device into a group of users from a plurality of groups based at least in part on the particular goal and the portion of information from each of the plurality of data sources, wherein the group of users is associated with an indication that the group has achieved the particular goal and wherein each user in the group of users has a similar baseline profile to the baseline profile of the user;

determining a target profile associated with the user based at least in part on the particular goal and the assigned group;

updating a baseline profile with a current profile for the user of the computing device based on the portion of information from each of the plurality of data sources;

comparing the current profile with the target profile to determine a recommended action, wherein the recommended action is associated with a predicted impact on the physical or emotional state of the user and is determined to continue to advance the current profile toward the target profile, wherein the recommended action is associated with a rating;

determining one or more devices connected to the computing device, wherein each of the one or more devices has one or more device capabilities;

causing the recommended action to be executed on one or more of the computing device and the devices connected to the computing device based on the one or more device capabilities being able to execute the recommended action;

determining that the recommended action has caused the current profile of the user to move towards the target profile; and

modifying the rating associated with the recommended action to indicate that the recommended action has caused the current profile of the user to move towards the target profile.