PATENT CLAIM ANALYSIS

Application Number: 16051989
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2018-11
Patent Classification: ["705", "007420"]

Abstract:
A method for providing incentive to mentors of at-risk mentees is described. The method includes the steps of determining an at-risk mentee's prospects in the absence of mentoring, and then tracking behavior and progress in a period of time, determining the mentee's achievement of important milestones, avoidance of costs to society, and/or income and income tax payments during the same period of time, and calculating a financial incentive to the mentee's mentor, wherein the amount of the financial incentive is calculated based on the mentee's behavior, achievement of important milestones, avoidance of costs to society, and/or income tax payments during the period of time.

Claim (Index 1):
A method for providing mentoring service to at-risk people, comprising the steps of:\n receiving, via a user interface of an application executing on one or more computer processors, a personal profile concerning an at-risk subject, wherein the personal profile comprises personal data, a risk profile comprises a plurality of risk factors and a plurality of mentee matching tags; assigning, via the one or more computer processors, a risk point value to each of the plurality of risk factors based on severity level of the subject's risk factors and a risk point matrix stored on a memory device accessible by the one or more computer processors, wherein the risk point matrix is determined by evaluating a large scale database reflecting risks of other subjects compared to their later successes or failures, and estimated lifetime costs to society; determining, via the one or more computer processors, a total risk point value of the at-risk subject via the one or more computer processors; accepting the at-risk subject as a mentee candidate, if the total risk point value satisfies a pre-determined threshold value; searching, via the one or more computer processors, a mentor candidate database comprising a plurality of mentor profiles, wherein each mentor profile comprises personal data, mentoring experience and a plurality of mentor matching tags; assigning, via the one or more computer processors, at least one mentor candidate to the mentee candidate, wherein the at least one mentor candidate is selected based on a match between the mentee matching tags and the mentor matching tags, where in the match is performed using a matching algorithm; submitting the at least one assigned mentor candidate to an oversight board for approval; receiving, via the user interface of the application, the at-risk subject's progress report after the establishment of a mentor-mentee relationship; comparing, via the one or more computer processors, the at-risk subject's progress to at-risk individual success odds or ex-convict success odds stored on a memory device accessible by the one or more computer processors; obtaining, via the one or more computer processors, the at-risk subject's income tax records from relevant governmental agencies; determining, via the one or more computer processors, a financial incentive to the mentor based on result of the comparing step and the at-risk subject's income tax records and expected lifetime costs to society; obtaining approval for the amount of financial incentive from the oversight board; and transmitting a notice to the relevant governmental agency about the approved amount.

Metadata:
- Claim Count in Document: 47.0
- Percentile: 96.0
- Lexical Diversity: 2.2037
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15691253', '15623206', '15373869', '15337799', '15266384']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1829102733734026
- 35 USC 102 Novelty (BERT): 0.6969158339184558
- Combined Prediction Score: 0.234310829427908
- Mean Citation Score: 677.91979
- Max Citation Score: 728.31036
- Similarity Product: 719.8654198983191

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 0

Dataset: test