Methodology and system for optimizing communications in dynamic lightweight personalized analytics
Abstract:
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.
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