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1. (WO2018140428) SYSTEMS AND METHODS FOR AUTOMATIC BAYESIAN NETWORK GENERATION WITH USER HISTORICAL DATA

Pub. No.:    WO/2018/140428    International Application No.:    PCT/US2018/014943
Publication Date: Fri Aug 03 01:59:59 CEST 2018 International Filing Date: Thu Jan 25 00:59:59 CET 2018
IPC: G06E 1/00
G06F 17/00
G06F 17/30
Applicants: GONZALEZ BRENES, Jose
BEHRENS, John
LARUSSON, Johann
MCTAVISH, Thomas
CORBIN II, James David
CHEN, Yetian
STEWART, Timothy
STRONG, David
FREDRICH, Todd
Inventors: GONZALEZ BRENES, Jose
BEHRENS, John
LARUSSON, Johann
MCTAVISH, Thomas
CORBIN II, James David
CHEN, Yetian
STEWART, Timothy
STRONG, David
FREDRICH, Todd
Title: SYSTEMS AND METHODS FOR AUTOMATIC BAYESIAN NETWORK GENERATION WITH USER HISTORICAL DATA
Abstract:
Systems and methods for automatic generating of a Bayes net content graph are disclosed herein. The system can include a memory including a mapping matrix. The system can include at least one server. The at least one server can generate a user matrix having n columns and p rows. In some aspects, each of the n columns is associated with a student and each of the p rows is associated with a content item. The at least one server can: store the user matrix in the memory; retrieve the mapping matrix from the memory; iteratively identify prerequisite relationships between the skills identified in the user matrix; generate edges between the skills in the user matrix based on the iteratively identified prerequisite relationships; and orient the edges between the skill.