METHODOLOGY AND SYSTEM FOR OPTIMIZING COMMUNICATIONS IN DYNAMIC LIGHTWEIGHT PERSONALIZED ANALYTICS

摘要

An embodiment of the present invention is directed to a feedback-based system and methodology for dynamically selecting communication messages, social media data, support data, etc. (denoted data) in evaluating dynamic lightweight personalized analytics (DLPA). Disclosed embodiments include a process for optimizing the key performance indicators (KPIs) used in measuring success by dynamically selecting the type, size, etc. of data leveraged by DLPA. This facilitates a small memory footprint and optimal computation when making smart, customized suggestions to users.