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GooglePatent applicationAI & softwareInterest 4/10

Google patents system that automatically finds and groups documents on a topic

This filing describes a method where a computer system takes a request and uses a machine-learned model to create a specific topic statement. It then generates multiple search queries based on that statement to find relevant documents from various information systems. Finally, the system collects these documents into a single proposed set for the user.

Why it mattersThis could improve how users find and organize information by automating the process of searching for and grouping related documents around a specific subject.

In the filing’s own words

A method to perform automated topic exploration includes: receiving, by a computing system comprising one or more computing devices, a request to initiate an automated topic exploration; in response to the request, processing, by the computing system, a model input with a machine-learned topic generation model to generate a topic statement as an output of the machine-learned topic generation model; generating, by the computing system, a plurality of information retrieval queries that query for source documents related to the topic statement; causing, by the computing system, the plurality of information retrieval queries to be executed on one or more information retrieval systems to return a plurality of candidate source documents that are responsive to the plurality of information retrieval queries; and collecting, by the computing system at least a subset of the plurality of candidate source documents into a proposed set of source documents.

What exactly they claim (claim 1)

1. A computer-implemented method to perform automated topic exploration, the method comprising: receiving, by a computing system comprising one or more computing devices, a request to initiate an automated topic exploration; in response to the request, processing, by the computing system, a model input with a machine-learned topic generation model to generate a topic statement as an output of the machine-learned topic generation model; generating, by the computing system, a plurality of information retrieval queries that query for source documents related to the topic statement; causing, by the computing system, the plurality of information retrieval queries to be executed on one or more information retrieval systems to return a plurality of candidate source documents that are responsive to the plurality of information retrieval queries; and collecting, by the computing system at least a subset of the plurality of candidate source documents into a proposed set of source documents.

Facts

Company
Google (Google LLC)
Official title
Automated Topic Exploration
Publication number
US20260288882A1
Application number
19394752
Filed
Nov 19, 2025
Published
Sep 24, 2026
Inventors
5
Claims
20

Classified under

G06F 16/9532 Physics & computing

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Summaries are simplified from the filing’s own abstract and first claim. A patent filing is not a product announcement.
Patent data and drawings: U.S. Patent and Trademark Office (USPTO). Nebula is not affiliated with or endorsed by the USPTO.