Method and system for machine learning of optimized user outreach based on sparse data
AssigneeKoninklijke Philips N.V.
InventorsAart Tijmen VAN HALTEREN, Seyed Amin TABATABAEI, Mark HOOGENDOORN
Life of this patent
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Abstract
A method of optimizing user outreach for a subject, including: determining the N closest other users to the subject; learning an outreach policy for the subject using reinforcement learning based upon outreach data of the N closest other users and the subject; determining an outreach action for the subject based upon the learned outreach policy; performing the outreach action; collecting new outreach data; and determining a new value of N.
Claims18
A method of optimizing user outreach for a subject, comprising:
- determining the N closest other users to the subject;
- learning an outreach policy for the subject using reinforcement learning based upon outreach data of the N closest other users and the subject;
- determining an outreach action for the subject based upon the learned outreach policy;
- performing the outreach action;
- collecting new outreach data;
- and
- determining a new value of N.
A non-transitory machine-readable storage medium encoded with instructions for optimizing user outreach for a subject, comprising:
- instructions for determining the N closest other users to the subject;
- instructions for learning an outreach policy for the subject using reinforcement learning based upon outreach data of the N closest other users and the subject;
- instructions for determining an outreach action for the subject based upon the learned outreach policy;
- instructions for performing the outreach action;
- instructions for collecting new outreach data;
- and
- instructions for determining a new value of N.
Dependencies are inferred from the claim text.