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案件記録

SYSTEMS AND METHODS FOR SCALABLE DATASET CONTENT EMBEDDING FOR IMPROVED DATABASE SEARCHABILITY

発明審査中
20請求項 · 3 独立
§ Ⅰ

案件概要

発明者

Taylor Turner; Jeremy Goodsitt; Michael Davis; Kenny Bean; Tyler Farnan

IPC分類

G6F 16/22G6F 16/23G6F 16/242

CPC分類

G6F16/2228G6F16/2358G6F16/242

Methods and systems for scalable dataset content embedding for improved searchability. For example, the system may retrieve a first dataset from a first data source. The system may generate a first data profile of the first dataset. The system may generate a latent index of the first data profile based on processing the first data profile using a first embedding algorithm. The system may receive, via a user interface, a first request for a first text string. The system may generate an embedded request corresponding to the first request based on processing the first text string using the first embedding algorithm. The system may process the embedded request using the latent index. The system may generate for display, in the user interface, a result based on processing the embedded request using the latent index.

原文(中国語)

Methods and systems for scalable dataset content embedding for improved searchability. For example, the system may retrieve a first dataset from a first data source. The system may generate a first data profile of the first dataset. The system may generate a latent index of the first data profile based on processing the first data profile using a first embedding algorithm. The system may receive, via a user interface, a first request for a first text string. The system may generate an embedded request corresponding to the first request based on processing the first text string using the first embedding algorithm. The system may process the embedded request using the latent index. The system may generate for display, in the user interface, a result based on processing the embedded request using the latent index.

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