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案件記録

SYSTEMS AND METHODS FOR SEMANTIC CONTENT GENERATION

発明審査中
2閲覧数
20請求項 · 3 独立
§ Ⅰ

案件概要

発明者

Connor MACNULTY; Auzeb MANZOOR; Huan HO; Sam GUMMESON; Reyhan JHAVER

IPC分類

G6Q 10/1053G6F 40/30G6Q 10/631G6Q 10/639

CPC分類

G6Q10/1053G6F40/30G6Q10/63112

In some implementations, the techniques described herein relate to a method including: issuing, by a computing device, a query to a database; receiving, at the computing device, a response to the query that includes first natural language data associated with a set of users and second natural language data including textual data; augmenting, by the computing device, the first natural language data using a first machine learning model to generate a set of augmented profiles for the set of users; augmenting, by the computing device, the second natural language data using a second machine learning model to generate a set of augmented textual data; generating, by the computing device, a difference between the set of augmented profiles and the set of augmented textual data using a third machine learning model; and transmitting, by the computing device, a visualization of an output from the third machine learning model.

原文(中国語)

In some implementations, the techniques described herein relate to a method including: issuing, by a computing device, a query to a database; receiving, at the computing device, a response to the query that includes first natural language data associated with a set of users and second natural language data including textual data; augmenting, by the computing device, the first natural language data using a first machine learning model to generate a set of augmented profiles for the set of users; augmenting, by the computing device, the second natural language data using a second machine learning model to generate a set of augmented textual data; generating, by the computing device, a difference between the set of augmented profiles and the set of augmented textual data using a third machine learning model; and transmitting, by the computing device, a visualization of an output from the third machine learning model.

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