- Patent Title: Task assignment using machine learning and information retrieval
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Application No.: US15272123Application Date: 2016-09-21
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Publication No.: US10248919B2Publication Date: 2019-04-02
- Inventor: Boaz Shuster , Or Moshe Granit
- Applicant: Red Hat Israel, Ltd.
- Applicant Address: IL Ra'anana
- Assignee: Red Hat Israel, Ltd.
- Current Assignee: Red Hat Israel, Ltd.
- Current Assignee Address: IL Ra'anana
- Agency: Hyanes and Boone, LLP
- Main IPC: G06F9/44
- IPC: G06F9/44 ; G06F11/36 ; G06F17/30 ; G06Q10/06 ; G06Q10/10 ; G06F8/30 ; G06F8/71

Abstract:
An example method of assigning a task to a developer includes partitioning, based on a first set of developer attributes, a list of developers into a plurality of developer clusters. The method also includes for a plurality of tasks, identifying a set of developers assigned to the respective task, identifying a developer cluster including a greater number of developers from the respective set of developers than another developer cluster, and classifying the respective task as belonging to the respective developer cluster. The method further includes comparing attributes of classified tasks to a second set of attributes of a new task and selecting a classified task having a greater number of attributes that match the second set of attributes than another classified task, the classified task belonging to a first developer cluster. The method further includes assigning the new task to one or more developers included in the first developer cluster.
Public/Granted literature
- US20180081683A1 TASK ASSIGNMENT USING MACHINE LEARNING AND INFORMATION RETRIEVAL Public/Granted day:2018-03-22
Information query