Invention Grant
- Patent Title: Data object creation and recommendation using machine learning based online evolution
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Application No.: US15813041Application Date: 2017-11-14
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Publication No.: US10606885B2Publication Date: 2020-03-31
- Inventor: Myles Brundage , Risto Miikkulainen
- Applicant: Evolv Technology Solutions, Inc.
- Applicant Address: US CA San Francisco
- Assignee: Evolv Technology Solutions, Inc.
- Current Assignee: Evolv Technology Solutions, Inc.
- Current Assignee Address: US CA San Francisco
- Agency: Haynes Beffel & Wolfeld LLP
- Agent Warren S. Wolfeld; Andrew L. Dunlap
- Main IPC: G06F16/583
- IPC: G06F16/583 ; G06N20/00 ; G06K9/62 ; G06K9/46 ; G06K9/00 ; G06N3/08 ; G06N3/04

Abstract:
The technology disclosed relates to providing expanded data object correlations for user-generated web customizations. Roughly described, it relates to creating an initial plurality of candidate data object image representations by procreation, storing a candidate population having the plurality of candidate data object image representations, scoring each of the candidate data object image representations for conformity with a predefined goal using a trained neural network system and/or a rule-based percept filter, discarding candidate data object image representations from the candidate population, adding new data object image representations to the candidate population by procreation, iterating the scoring, the discarding, and the adding until the discarding yields a candidate pool of candidate data object image representations not yet discarded but which satisfy a convergence condition, and providing as recommendation for display to a user at least one of the data object images represented in the candidate pool.
Public/Granted literature
- US20180137390A1 DATA OBJECT CREATION AND RECOMMENDATION USING MACHINE LEARNING BASED ONLINE EVOLUTION Public/Granted day:2018-05-17
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