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COMPUTER-BASED SYSTEMS INCLUDING MACHINE LEARNING MODELS TRAINED ON DISTINCT DATASET TYPES AND METHODS OF USE THEREOF

Abstract:

In order to facilitate machine learning for prediction using distinct dataset types, systems and methods include collecting content information from archived websites databases. Collecting historical event information from online sources, where the historical event information is associated with a plurality of historical events. Generating event-dependent products training datasets based on the content information and the historical event information, where the event-dependent content training datasets defines for content historical events that are associated with attributes of the content, attribute change of the content, or both. Training an attribute prediction machine learning model based on the event-dependent content training datasets. Applying the trained attribute prediction machine learning model to additional event information to predict, for content, a future attribute estimate, a future attribute change estimate, or both. Causing to display an indication representative of the future attribute estimate, the future attribute change estimate, or both.