SYSTEM AND METHOD UTILIZING MACHINE LEARNING TO PREDICT DROP-OFF OF USER ENGAGEMENT WITH EXPERT SYSTEMS

SYSTEM AND METHOD UTILIZING MACHINE LEARNING TO PREDICT DROP-OFF OF USER ENGAGEMENT WITH EXPERT SYSTEMS

Described herein are platforms, systems, media, and methods for predicting expert system user engagement, utilizing methodology comprising: applying an algorithm to analyze interaction patterns in the expert system and develop a graph model; performing randomized vectorization of a plurality of pre-...

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Bibliographische Detailangaben
Hauptverfasser: KAO, John Jien, TRIM, Craig M
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Zusammenfassung:Described herein are platforms, systems, media, and methods for predicting expert system user engagement, utilizing methodology comprising: applying an algorithm to analyze interaction patterns in the expert system and develop a graph model; performing randomized vectorization of a plurality of pre-selected metrics, wherein each vector has at least two metrics; developing a logistic activation function across the graph model using each vector to determine a baseline engagement and an engagement threshold for each user; and applying a machine learning algorithm to predict engagement movement for each user.