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Microsoft patents method to organize documents by topic relevance

Microsoft describes a system that groups documents into clusters based on how closely they match a specific topic. It then breaks these groups into smaller subgroups until they are detailed enough to be useful, creating a hierarchical structure. This structure helps computers search, filter, or summarize large collections of text more efficiently.

Why it mattersThis improves how software handles large amounts of text by focusing processing power only on relevant sections, which could make search and analysis tools faster.

In the filing’s own words

A topical cluster hierarchy (TCH) is constructed by recursive subclustering of document clusters until a termination condition is detected. The clusters have centroids of topic proximity with respect to at least one user-specified topic. Subclustering starts after thresholds of minimal cluster topic proximity or minimal cluster coherence are met, thus avoiding processing of low-utility clusters. Subclustering terminates when sufficient topic proximity, coherence, or cluster depth is reached. A tool utilizes the TCH to control topic-directed searching, topic-directed filtering, analyzing, summarizing, or categorizing, of documents.

What exactly they claim (claim 1)

1. A method performed by a computing system, the method comprising: calculating a respective centroid of each of a plurality of clusters, each cluster comprising a data structure which represents multiple documents of a corpus; determining a respective topic proximity score for each of the centroids, the topic proximity score representing a proximity of the centroid and its corresponding cluster to a specified topic; constructing a cluster hierarchy by recursively specifying a subcluster of one of the clusters until a termination condition is detected; and utilizing at least the cluster hierarchy to control at least one of: topic-directed searching of the corpus, topic-directed filtering of the corpus, analyzing at least a portion of the corpus, summarizing at least a portion of the corpus, or categorizing at least a portion of the corpus.

Facts

Company
Microsoft (Microsoft Technology Licensing, LLC)
Official title
TOPICAL CLUSTER HIERARCHY
Publication number
US20260277933A1
Application number
19193420
Filed
Apr 29, 2025
Published
Sep 17, 2026
Inventors
19
Claims
20

Classified under

G06F 16/285 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.