Identifying data of interest using machine learning

This invention describes a system that automatically finds interesting information from online text, like news feeds or articles. It uses several machine learning models, including a specific type called a GBRT model, to analyze the text and decide if it's relevant. These models are trained on business data to learn what to look for.

Why it matters: Filed before the widespread adoption of large language models. These advanced models can now perform the semantic analysis, named entity recognition, and interest identification described, potentially simplifying the system's architecture and improving accuracy.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMachine learning models, data pipelines, software system.

3 AI reinvention directions for this patent

See all three

AI gives you a few directions you could take this. Pick one, and we check whether your version is different enough to patent, then write the filing.

Reinvent this with AI

Where this one came from

Every morning we go through millions of abandoned patents and pick out 15 worth your time. This was one of today’s.

This one

+10