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案件記録

USING AN ARTIFICIAL INTELLIGENCE MODEL TO IDENTIFY A PRODUCER AND CONSUMER MATCH

発明審査中
8閲覧数
36請求項 · 15 独立
§ Ⅰ

案件概要

発明者

Dustin Steven Schodt; Joseph David Hubbs; Ruth Buel; Dennis Dale Warner, JR.; Sean Beckstead; Martina Lendova Huamonte; Fran Glaser; Eric Stephen Sankner; Maya Louise Estrada; David Aaron Finklestein; Laura Katharina Bergner; Marissa Kelly Lyons, JR.; Jacqueline Gonzalez

IPC分類

G6Q 10/1057G6Q 30/204

CPC分類

G6Q10/1057G6Q30/205

Methods for training and using an artificial intelligence (AI) model to identify a producer and consumer match. The method to train the AI model includes generating training data and providing the training data to train the AI model on (i) a set of training inputs, and (ii) a set of target outputs. A first training input includes information identifying consumer data for a consumer associated with a software-as-a-service (SaaS) management platform. A second training input includes information identifying producer data for a producer that provides, via the SaaS management platform, one or more services to one or more consumers associated with the SaaS management platform. A third training input includes external factor data identifying one or more factors external to and that affect the consumer and producer. A first target output identifies whether the producer is a match for the consumer.

原文(中国語)

Methods for training and using an artificial intelligence (AI) model to identify a producer and consumer match. The method to train the AI model includes generating training data and providing the training data to train the AI model on (i) a set of training inputs, and (ii) a set of target outputs. A first training input includes information identifying consumer data for a consumer associated with a software-as-a-service (SaaS) management platform. A second training input includes information identifying producer data for a producer that provides, via the SaaS management platform, one or more services to one or more consumers associated with the SaaS management platform. A third training input includes external factor data identifying one or more factors external to and that affect the consumer and producer. A first target output identifies whether the producer is a match for the consumer.

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