CONTEXT-AWARE INFORMATION DISCOVERY

• US 20170155737A1
• Filed: 12/01/2015
• Published: 06/01/2017
• Est. Priority Date: 12/01/2015
• Status: Abandoned Application

• Current Assignee: Let's Maybe, Inc.
• Original Assignee: Let's Maybe, Inc.
• Inventors: Jannink, Jan, Hochberg, Leonardo
• Application Number:
  US14/955,942
• Publication Number:
  US 20170155737A1
• Time in Patent Office: Days
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/52 specially adapted for the location of the user terminal
• CPC Class Codes: H04L 67/63 Routing a service request depending on the request content or context
• CPC Class Codes: H04W 4/02 Services making use of location information
• CPC Class Codes: H04W 4/029 Location-based management or tracking services
• CPC Class Codes: H04W 4/70 Services for machine-to-machine communication [M2M] or machine type communication [MTC]

Abstract

In an embodiment, contextual data is gathered via sensors at a client device. This contextual data is transferred to servers associated with a system to inform scoring of available content to present to a user. Available content can include content curated by the user, content curated by other users associated with the user, and other external content. The system generates lists of relevant content based on the scoring and presents the lists of contextually relevant content to the user via the client device. Data associated with user interaction with items in the list is returned to the servers associated with the system and can be used to build a user pattern profile associated with the user and/or to update scoring of available content items.

Claims

1. A method comprising the steps of:

receiving, by a computer system, user data collected at a client device associated with a user, the user data including user interaction data and contextual data;

generating, by a computer system, a user pattern profile based on the user data;

scoring, by the computer system, available content items based on the user pattern profile and the contextual data;

generating, by the computer system, a sorted list of content items from the available content items based on the scoring; and

presenting, by the computer system at the client device, the sorted list of content items.

2. The method of claim 1, wherein the user interaction data is associated with interactions by the user with the sorted list of content items presented at the client device.

3. The method of claim 2, wherein interactions by the user include demoting and/or keeping items in the sorted list presented at the client device

4. The method of claim 1, wherein the contextual data includes one or more of the following:

sensor data collected by sensors at the client device;

or

location data collected at the client device.

5. The method of claim 1, further comprising:

presenting options at the client device to filter the sorted list of content items.

6. The method of claim 1, further comprising:

presenting options at the client device to create new content items to add to the sorted list.

7. The method of claim 1, wherein the available content items include one or more of the following:

content items curated by the user;

content items curated by other users associated with the user;

or

content items available from external sources.

8. The method of claim 1, wherein the scoring is based at least in part on an eclecticity measures associated with the user, the eclecticity measure based on the user pattern profile.

9. The method of claim 8, wherein sorted list of content items includes user-curated content and external content, and wherein the proportions of user-curated content and external content included in the sorted list is based on the eclecticity measure associated with the user.

10. A method comprising the steps of:

receiving, by a computer system, user data collected at a client device associated with a user, the user data including contextual data;

identifying, by the computer system, a contextually relevant content item from a set of available content items based on the received contextual data;

presenting, by the computer system at the client device, the contextually relevant content item;

receiving, by the computer system a user interaction with the contextually relevant content item;

inferring, by the computer system, a user preference based on the user interaction; and

creating a new or updating an existing user pattern profile based on the inferred user preference.

11. The method of claim 10, wherein the available content items include one or more of the following:

content items curated by the user;

content items curated by other users associated with the user;

or

content items available from external sources.

12. A computer system comprising:

a processor; and

a memory unit coupled to the processor, the memory unit including instructions stored thereon, which when executed by the processor, cause the computer system to;

receive user data collected at a client device associated with a user, the user data including user interaction data and contextual data;

generate a user pattern profile based on the user data;

score available content items based on the user pattern profile and the contextual data;

generate a sorted list of content items from the available content items based on the scoring; and

present, at the client device, the sorted list of content items.

13. The computer system of claim 12, wherein the user interaction data is associated with interactions by the user with the sorted list of content items presented at the client device.

14. The computer system of claim 13, wherein interactions by the user include demoting and/or keeping items in the sorted list presented at the client device

15. The computer system of claim 12, wherein the contextual data includes one or more of the following:

sensor data collected by sensors at the client device;

or

location data collected at the client device.

16. The computer system of claim 12, wherein the memory unit includes further instructions stored thereon, which when executed by the processor, cause the computer system to further:

present options at the client device to filter the sorted list of content items.

17. The computer system of claim 12, wherein the memory unit includes further instructions stored thereon, which when executed by the processor, cause the computer system to further:

present options at the client device to create new content items to add to the sorted list.

18. The computer system of claim 12, wherein the available content items include one or more of the following:

content items curated by the user;

content items curated by other users associated with the user;

or

content items available from external sources.

19. The computer system of claim 12, wherein the scoring is based at least in part on an eclecticity measures associated with the user, the eclecticity measure based on the user pattern profile.

20. The computer system of claim 19, wherein sorted list of content items includes user-curated content and external content, and wherein the proportions of user-curated content and external content included in the sorted list is based on the eclecticity measure associated with the user.