METHODOLOGY AND SYSTEM FOR ADJUSTING DEFAULT PARAMETERS IN DYNAMIC LIGHTWEIGHT PERSONALIZED ANALYTICS

METHODOLOGY AND SYSTEM FOR ADJUSTING DEFAULT PARAMETERS IN DYNAMIC LIGHTWEIGHT PERSONALIZED ANALYTICS

An embodiment of the present invention is directed to a feedback-based system and methodology for dynamically adjusting default parameters in dynamic lightweight personalized analytics (DLPA). Disclosed embodiments include a process for optimizing the key performance indicators (KPIs) used in measur...

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Bibliographische Detailangaben
1. Verfasser: Johnson, Sandra K
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:An embodiment of the present invention is directed to a feedback-based system and methodology for dynamically adjusting default parameters in dynamic lightweight personalized analytics (DLPA). Disclosed embodiments include a process for optimizing the key performance indicators (KPIs) used in measuring success by dynamically adjusting the values of default parameters used in processing requests and other activities needed for DLPA implementation. Some of these parameters include the time frequency for calculating KPIs and the frequency of making suggestions. This facilitates a small memory footprint and optimal computation when making smart, customized suggestions to users.