Invention Grant
- Patent Title: Machine learning system for optimizing projects
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Application No.: US16165329Application Date: 2018-10-19
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Publication No.: US11036938B2Publication Date: 2021-06-15
- Inventor: Philip T. Alexander , Richard J. Hubbard , Frank Sung Chul Cho , Ruchir Doshi
- Applicant: ConceptDrop Inc.
- Applicant Address: US IL Chicago
- Assignee: ConceptDrop Inc.
- Current Assignee: ConceptDrop Inc.
- Current Assignee Address: US IL Chicago
- Agency: Akerman LLP
- Agent Mammen (Roy) P. Zachariah, Jr.
- Main IPC: G06F40/30
- IPC: G06F40/30 ; G06F16/9535 ; G06N20/00 ; G06N5/04 ; G06F16/248 ; G06F16/951 ; G06F16/2457 ; G06F16/242

Abstract:
A system for optimizing project and/or task completion through the use of machine learning is disclosed. The system receives attributes for a project and participants to participate in the project. The attributes are provided to a natural language processing engine to determine content related to the attributes. Once the content is determined, the system receives a selection of a portion of the content and attributes to be searched via a search engine of the system. The search engine may then determine potential combinations of participants, such as individuals, devices, programs, and/or robots, which are suited to participate in the project. A selected combination of participants may perform the project. Feedback relating to the project may be utilized to adjust search algorithm variable weights and parameters utilized by the search engine to optimize the relevance of potential combinations of participants generated in response to a future search for a future project.
Public/Granted literature
- US20190121855A1 Machine Learning System for Optimizing Projects Public/Granted day:2019-04-25
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