Invention Grant
- Patent Title: Predicting entity outcomes using taxonomy classifications of transactions
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Application No.: US16721817Application Date: 2019-12-19
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Publication No.: US10825109B2Publication Date: 2020-11-03
- Inventor: Adam Cohen , Jay McLain , Jim Chonko , Eric Hexter
- Applicant: Laso, Inc.
- Applicant Address: US NY New York
- Assignee: Laso, Inc.
- Current Assignee: Laso, Inc.
- Current Assignee Address: US NY New York
- Agency: Fish & Richardson P.C.
- Main IPC: G06Q10/00
- IPC: G06Q10/00 ; G06Q40/00 ; G06F16/21 ; G06N5/04

Abstract:
Methods, systems, and computer programs, for predicting a likely outcome for an entity. A method includes obtaining a first data structure that includes data that represents a transaction, determining a similarity level of the transaction to each of a plurality of categories, determining a transaction category based on the determined similarity level, generating an input data structure that includes data representing (i) at least a portion of the data representing the transaction, and (ii) data describing the determined category, providing the input data structure to a predictive algorithm trained to determine a value that represents a likely outcome for an entity that initiated a transaction, obtaining output generated by the predictive algorithm based on the predictive algorithm's processing of the input data structure, the output including a value that represents a likely outcome for the entity, and determining a likely outcome for the entity based on the obtained output.
Public/Granted literature
- US20200151825A1 PREDICTING ENTITY OUTCOMES USING TAXONOMY CLASSIFICATIONS OF TRANSACTIONS Public/Granted day:2020-05-14
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