Emc IP Holding Company LLC

Ivan Mlynek

Amihai Savir

Omer Sagi

Noga Gershon

Marcel Bernard Körner

Dhev George Kollannur

Arthur Wensing

Jorge Luis Perez

Michael Rupert James Thatcher

Artificial intelligence (AI)-based techniques are provided that predict a quality score for a product-related data structure associated with one or more products. One method comprises obtaining data for a given product-related data structure; evaluating a plurality of first features related to a customer account associated with the given product-related data structure using the obtained data; evaluating a plurality of second features related to the given product-related data structure using the obtained data; processing at least some of the first features and the second features using at least one model that provides a predicted quality score for the given product-related data structure; and applying one or more thresholds to the predicted quality score to determine an acceptance status related to the given product-related data structure. A weighting of the first features and the second features can be learned during a training phase.

Evaluation of product-related data structures using machine-learning techniques

Growing community of inventors

D. Jurkovica, Slovakia

Ivan Mlynek