Machine learning for real-time adaptive website interaction
AssigneePurePredictive, Inc.
InventorsKelly D. Phillipps, Richard W. Wellman, James T. Lovell
Life of this patent
Estimating the term…
Abstract
Apparatuses, systems, methods, and computer program products are disclosed for website interaction. An input module is configured to receive information from multiple sources. The information may be associated with a user of a website. A machine learning module is configured to apply machine learning to the information to produce a machine learning result. A website adaptation module is configured to adapt the website for the user in real-time based on the machine learning result.
Claims20
A method for website interaction, the method comprising:
- receiving information associated with a user of a website, the information received from multiple sources;
- inputting the information into machine learning to produce a machine learning result;
- and
- adapting the website for the user in real-time based on the machine learning result.
An apparatus for website interaction, the apparatus comprising:
- an input module configured to receive information from multiple sources, the information associated with a user of a website;
- a machine learning module configured to apply machine learning to the information to produce a machine learning result;
- and
- a website adaptation module configured to adapt the website for the user in real-time based on the machine learning result.
A computer program product comprising a computer readable storage medium storing computer usable program code executable to perform operations for website interaction, the operations comprising:
- receiving information associated with a user of a website, the information received from multiple sources;
- inputting the information into machine learning to produce a machine learning result;
- and
- adapting the website for the user in real-time based on the machine learning result.
Dependencies are inferred from the claim text.