Computer-Implemented System And Method For Providing Contextually Relevant Task Recommendations To Qualified Users

Patent metadata

Field	Value
Publication number	US-2018012170-A1
Application number	US-201615203727-A
Country	US
Kind code	A1
Filing date	Jul 6, 2016
Priority date	Jul 6, 2016
Publication date	Jan 11, 2018
Grant date	—

Abstract

A computer-implemented system and method for providing contextually relevant task recommendations to qualified users is provided. Sensor data is collected for a user. The user's location is determined and subsequently, an activity of the user is determined based on the sensor data and the location. Two or more recommendable items are scored based on the activity and one or more of the recommendable items with the highest scores are selected. Finally, one or more recipients qualified to perform each of the recommendable items are identified.

First claim

What is claimed is:

1 . A computer-implemented system for providing contextually relevant task recommendations to qualified users, comprising:
sensor data collected for a user; and a server comprising a central processing unit, an input port to receive the sensor data, and an output port, wherein the central processing unit is configured to:
determine the user's location;
determine an activity of the user based on the sensor data and the location;
score two or more recommendable items based on the activity;
select one or more of the recommendable items with the highest scores; and
identify one or more recipients qualified to perform each of the recommendable items.

2 . A system according to claim 1 , wherein the central processing unit is further configured to:
collect contextual data of the user; identify at least one low-level activity from the contextual data; compare the identified low-level activities with activity models, wherein each activity model is associated with an activity; and select the activity associated with the activity model with the highest similarity to the identified low-level activities.

3 . A system according to claim 1 , wherein the central processing unit is further configured to:
determine whether the user is qualified to perform at least one of the selected recommendable items based on a user profile associated with the user; and provide the at least one selected recommendable item to the user when the user is qualified to perform that selected recommendable item.

4 . A system according to claim 1 , wherein the central processing unit is further configured to:
maintain groups of users; identify at least one group of users qualified to perform at least one of the selected recommendable items; and provide the at least one selected recommendable item to the users in the identified group.

5 . A system according to claim 1 , wherein the central processing unit is further configured to:
provide the selected recommendable items to the user; receive by the user a selection of one of the selected recommendable items for performance.

6 . A system according to claim 5 , wherein the central processing unit is further configured to:
determine that the user is unable to complete the selected recommendable item for performance; and provide instructional materials to the user based on the determination.

7 . A system according to claim 1 , wherein the central processing unit is further configured to:
receive a request for the user to communicate with another individual; and monitor the communication between the user and the other individual.

8 . A system according to claim 1 , wherein the central processing unit is further configured to:
generate simulations by receiving a contextual scenario and receiving the recommendable items to provide to the user when the contextual scenario occurs.

9 . A system according to claim 8 , wherein the central processing unit is further configured to:
compare the sensor data and location with the simulations; identify one of the simulations closest related to the sensor data and location; and identify recommendable items associated with the closest simulation as candidate recommendable items.

10 . A system according to claim 1 , wherein the central processing unit is further configured to:
determine that one of the recommendable items is being performed by the user.

11 . A computer-implemented method for providing contextually relevant task recommendations to qualified users, comprising:
collecting sensor data for a user; determining the user's location; determining an activity of the user based on the sensor data and the location; scoring two or more recommendable items based on the activity; selecting one or more of the recommendable items with the highest scores; and identifying one or more recipients qualified to perform each of the recommendable items.

12 . A method according to claim 11 , wherein the activity is determined, comprising:
collecting contextual data of the user; identifying at least one low-level activity from the contextual data; comparing the identified low-level activities with activity models, wherein each activity model is associated with an activity; and selecting the activity associated with the activity model with the highest similarity to the identified low-level activities.

13 . A method according to claim 11 , further comprising:
determining whether the user is qualified to perform at least one of the selected recommendable items based on a user profile associated with the user; and providing the at least one selected recommendable item to the user when the user is qualified to perform that selected recommendable item.

14 . A method according to claim 11 , further comprising:
maintaining groups of users; identifying at least one group of users qualified to perform at least one of the selected recommendable items; and providing the at least one selected recommendable item to the users in the identified group.

15 . A method according to claim 11 , further comprising:
providing the selected recommendable items to the user; receiving by the user a selection of one of the selected recommendable items for performance.

16 . A method according to claim 15 , further comprising:
determining that the user is unable to complete the selected recommendable item for performance; and providing instructional materials to the user based on the determination.

17 . A method according to claim 11 , further comprising:
receiving a request for the user to communicate with another individual; and monitoring the communication between the user and the other individual.

18 . A method according to claim 11 , further comprising:
generating simulations, comprising:
receiving a contextual scenario; and
receiving the recommendable items to provide to the user when the contextual scenario occurs.

19 . A method according to claim 18 , further comprising:
comparing the sensor data and location with the simulations; identifying one of the simulations closest related to the sensor data and location; and identifying recommendable items associated with the closest simulation as candidate recommendable items.

20 . A method according to claim 11 , further comprising:
determining that one of the recommendable items is being performed by the user.

Assignees

• Palo Alto Res Ct Inc

Inventors

• Roberts Michael
• Tucker Simon
• Ahern Shane

Classifications

• G06Q10/063112 Primary

  Skill-based matching of a person or a group to a task · CPC title

• G06F17/3053

  Physics · mapped topic

• G06F16/24578

  using ranking · CPC title