17453820. INTELLIGENT MENTOR AND EXPERTISE MATCHING TOOL simplified abstract (International Business Machines Corporation)

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INTELLIGENT MENTOR AND EXPERTISE MATCHING TOOL

Organization Name

International Business Machines Corporation

Inventor(s)

Jennifer M. Hatfield of San Francisco CA (US)

Madeline Clark of The Woodlands TX (US)

Michael Bender of Rye Brook NY (US)

Jeremy R. Fox of Georgetown TX (US)

INTELLIGENT MENTOR AND EXPERTISE MATCHING TOOL - A simplified explanation of the abstract

This abstract first appeared for US patent application 17453820 titled 'INTELLIGENT MENTOR AND EXPERTISE MATCHING TOOL

Simplified Explanation

An apparatus for mentor and expertise matching is described in this patent application. The apparatus includes several modules that work together to match mentees with suitable mentors and track their interactions. Here are the key points:

  • The profile module collects information from the mentee and creates a mentee profile, which includes details about their skills and preferences.
  • The scoring module compares the mentee profile with multiple mentor profiles in a mentor database. It uses a mentor scoring algorithm to assign a mentor score to each mentor profile.
  • The selection module allows the mentee to choose a mentor from a list of mentors presented to them. The mentors presented have higher scores than other mentors.
  • The mentorship tracking module keeps track of the interactions between the mentor and mentee.
  • The mentor feedback module updates the mentor's profile based on feedback received from the interactions.

Potential applications of this technology:

  • Online mentoring platforms: This apparatus can be used on online platforms that connect mentees with mentors in various fields.
  • Educational institutions: Schools and universities can utilize this technology to match students with mentors who can provide guidance and support.
  • Professional development programs: Companies and organizations can implement this technology to pair employees with mentors who can help them develop their skills and advance in their careers.

Problems solved by this technology:

  • Efficient mentor matching: The apparatus automates the process of matching mentees with mentors, saving time and effort for both parties.
  • Personalized mentorship: By considering the skills and preferences of the mentee, the apparatus ensures that the mentorship is tailored to the mentee's specific needs.
  • Mentor profile improvement: The mentor feedback module allows mentors to receive feedback from their interactions with mentees, helping them improve their mentoring skills.

Benefits of this technology:

  • Enhanced mentorship experience: The mentee is matched with a mentor who is highly compatible based on their skills and preferences, leading to a more effective mentorship relationship.
  • Time and resource savings: The automated matching process eliminates the need for manual mentor selection, making the process more efficient.
  • Continuous improvement: The mentor feedback module enables mentors to receive feedback and update their profiles, ensuring that they provide the best possible mentorship experience.


Original Abstract Submitted

An apparatus for an mentor and expertise matching includes a profile module configured to populate a mentee profile in response to receiving information from the mentee. The mentee profile includes information about skills and preferences of the mentee. A scoring module compares information from the mentee profile with a plurality of mentor profiles from a mentor database to determine, using a mentor scoring algorithm, a mentor score for each of the plurality of mentor profiles. A selection module is configured to receive a mentee selection of a mentor from one or more mentors presented to the mentee. Each of the mentors presented to the mentee includes a higher mentor score than other mentors. A mentorship tracking module is configured to track interactions between the mentor and the mentee, and a mentor feedback module is configured to update a mentor profile of the mentor based on feedback from the interactions.

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