TASK CROWDSOURCING WITHIN AN ENTERPRISE

• US 20140214467A1
• Filed: 01/31/2013
• Published: 07/31/2014
• Est. Priority Date: 01/31/2013
• Status: Abandoned Application

• Current Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Asur, Sitaram, Ankolekar, Anupriya, Huberman, Bernardo
• Application Number:
  US13/756,156
• Publication Number:
  US 20140214467A1
• Time in Patent Office: Days
• US Class Current: 705/7.14
• CPC Class Codes: G06Q 10/063112 Skill-based matching of a person or a group to a task

Abstract

Systems, methods, and machine-readable and executable instructions are provided for crowdsourcing a task within an enterprise. Crowdsourcing a task within an enterprise can include receiving features of a number of tasks, receiving features of a number of users, comparing a portion of the features of the number of tasks with a portion of the features of the number of users, and recommending tasks for particular users based on the comparison.

Claims

1. A method of crowdsourcing a task within an enterprise, comprising:

receiving features of a number of tasks;

receiving features of a number of users;

comparing a portion of the features of the number of tasks with a portion of the features of the number of users; and

recommending tasks for particular users based on the comparison, wherein each of the recommended tasks includes particular incentives to the users.

2. The method of claim 1, wherein the features of the number of tasks include a description of each task, a list skills associated with task completion, a level of complexity of each task, the importance of each task, a task deadline, and an estimated amount of time to complete each task.

3. The method of claim 2, wherein the features of the number of tasks include a deadline for each task.

4. The method of claim 1, wherein the features of the number of users include skill sets of each user, a number of tasks completed by each user, groups that each user belongs to, and aspects of each users schedule.

5. The method of claim 4, wherein the skill sets of each user includes a proficiency score of each user within each of the skill sets.

6. The method of claim 1, wherein receiving the features of a number of users includes receiving the features from an enterprise resource and an online resource.

7. A non-transitory machine-readable medium storing a set of instructions that, when executed, cause a processing resource to:

receive a task that includes a number of task features from a task creator;

receive profile information that includes a number of user features from a task performer;

compare a portion of the number of task features with a portion of the number of user features;

provide task information to a task performer based on the comparison; and

receive the task performer'"'"'s preference to perform the task.

8. The medium of claim 7, comprising instructions that, when executed, cause the processing resource to compile a log of a number of task performers from which the preference to perform the task has been received and provide the log to the task creator to select which of the number of task performers to perform the task.

9. The medium of claim 8, wherein the log includes the number of user features of each task performer.

10. The medium of claim 7, further comprising instructions that, when executed, cause the processing resource to facilitate communication between the task creator and the task performer.

11. A system of crowdsourcing a task within an enterprise, the system comprising:

a processing resource in communication with a memory resource, wherein the memory resource includes a set of instructions and wherein the processing resources is designed to carry out the set of instructions to;

receive profile information of a number of users, wherein the profile information includes user features and feedback on the users;

provide each of the number of users with a budget of credits, wherein the credits can be exchanged to create a task;

receive the task from a task creator in exchange for a number of credits, wherein the task includes task features;

compare the task features with user features;

recommend a task performer to perform the task based on the comparison, wherein to recommend includes to present a portion of the user features of the recommended task performer; and

transfer the number of credits to a task performer that performed the task.

12. The system of claim 11, wherein the user features include a number of credits that each of the number of users has earned.

13. The system of claim 11, wherein any task performer can be a group of task performers and the credits can be distributed to the group of task performers that performed the task.

14. The system of claim 11, wherein an amount of credits to create a task is based on the task features.

15. The system of claim 11, comprising a set of instructions wherein the processing resource is designed to carry out the set of instructions to manage a system-wide user recognition scheme, wherein the scheme includes incremental recognition tokens assigned to a user based on the user'"'"'s activity within the system.