Machine-learning-aided automatic taxonomy for web data
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United States of America
Stats
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Mar 25, 2025
Grant Date -
May 30, 2024
app pub date -
Feb 6, 2024
filing date -
Feb 6, 2024
priority date (Note) -
In Force
status (Latency Note)
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Abstract
Machine-learning-aided automatic taxonomy for web data. In an embodiment, a training dataset of annotated features is used to train a model to predict a class in a taxonomy of web-based activities. The features may be derived from a uniform resource locator (URL) of an online resource and associated metadata. During operation, the features may be extracted from the URL and metadata of each activity record in web data. The trained model may be applied to the extracted features for each activity record to predict a class within the taxonomy. The predicted taxonomic class may be stored in association with the URL that was extracted from the activity record to produce a taxonomized URL.
First Claim
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Family
| Country | kind | publication No. | Filing Date |
|---|---|---|---|
| US | B2 | US11914657 | May 31, 2022 |
| JP | A | JP2024530998 | Jun 27, 2022 |
| WO | A1 | WO2022256752 | Jun 27, 2022 |
| EP | A1 | EP4348526 | Jun 27, 2022 |
| CA | A1 | CA3221722 | Jun 27, 2022 |
| IL | A | IL308863 | Nov 26, 2023 |
International Classification(s)
- 2024 Application Filing Year
- G06N Class
- 5602 Applications Filed
- 354 Patents Issued To-Date
- 6.32 % Issued To-Date
Cited Art Landscape
Patent Citation Ranking
- 0 Citation Count
- G06N Class
- 0 % this patent is cited more than
- < 1 Age
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