Machine learning aided automatic taxonomy for web data
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United States of America Patent
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Feb 27, 2024
Grant Date -
Dec 8, 2022
app pub date -
May 31, 2022
filing date -
May 31, 2022
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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.
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