Microsoft patents system to organize massive data sets with automatic categories
Microsoft describes a method for sorting huge amounts of data into useful groups to make searching easier. The system uses automatic tools to label and organize information, adding extra details that help computers understand what the data is about.
In the filing’s own words
A collection of data that is extremely large can be difficult to search and/or analyze. Relevance may be dramatically improved by automatically classifying queries and web pages in useful categories, and using these classification scores as relevance features. A thorough approach may require building a large number of classifiers, corresponding to the various types of information, activities, and products. Creation of classifiers and schematizers is provided on large data sets. Exercising the classifiers and schematizers on hundreds of millions of items may expose value that is inherent to the data by adding usable meta-data. Some aspects include active labeling exploration, automatic regularization and cold start, scaling with the number of items and the number of classifiers, active featuring, and segmentation and schematization.
What exactly they claim (claim 1)
1 - 20. (canceled)
Facts
- Company
- Microsoft (Microsoft Technology Licensing, LLC)
- Official title
- INTERACTIVE CONCEPT EDITING IN COMPUTER-HUMAN INTERACTIVE LEARNING
- Publication number
- US20260310892A1
- Application number
- 19714195
- Filed
- Jun 19, 2026
- Published
- Oct 8, 2026
- Inventors
- 4
- Claims
- 21
Classified under
G06F 40/242 Physics & computingG06F 3/0482 Physics & computingG06F 16/951 Physics & computingG06F 40/30 Physics & computingG06N 7/01 Physics & computingG06N 20/00 Physics & computingMore from Microsoft in AI & software
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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.