Machine Learning and Automated Persistent Internet Domain Monitoring
AssigneePaypal, Inc.
InventorsRaja Ashok Bolla, Giselle Katrina Nevada, Kenneth Raymond Logan
Life of this patent
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AssigneePaypal, Inc.
InventorsRaja Ashok Bolla, Giselle Katrina Nevada, Kenneth Raymond Logan
Estimating the term…
Machine learning techniques are used to improve internet website and domain monitoring technology by classifying content using a trained algorithm. Based on crawling the web pages of a site, a machine learning classifier can be used to determine a composite content score for the website. Changes in the composite content score can be evaluated over time via multiple samplings of the website using the trained machine learning classifier. Additional weighting information can also be used as a factor in measuring website content change over time. Various change thresholds can be used with output of a machine learning classifier to determine content shifts over time.
A machine learning-based method for monitoring internet domain changes using a trained classifier, comprising:
A non-transitory computer-readable medium having stored thereon instructions that are executable by a computer system to cause the computer system to perform operations comprising:
A system, comprising:
Dependencies are inferred from the claim text.