MULTI TASK ORIENTED RECOMMENDATION SYSTEM FOR BENCHMARK IMPROVEMENT

Methods and systems are used for improving benchmark key performance indicators (KPIs). As an example, a set of KPIs associated with a particular client is identified, each KPI of the identified set of KPIs associated with a plurality of KPI attributes. A set of particular KPI attributes associated...

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Bibliographic Details
Main Authors Koduri, Naga Sai Narasimha Guru Charan, Krishnan, Kavitha
Format Patent
LanguageEnglish
Published 17.12.2020
Subjects
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:Methods and systems are used for improving benchmark key performance indicators (KPIs). As an example, a set of KPIs associated with a particular client is identified, each KPI of the identified set of KPIs associated with a plurality of KPI attributes. A set of particular KPI attributes associated with the identified set of KPIs associated with the particular client is identified. A recommendation assessment of the identified set of particular KPI attributes is performed using a trained recommendation reference model (RRM) to identify at least one operational recommendation for the particular client. A ranked set of the at least one operational recommendation is generated based on a ranking associated with each KPI of the at least one KPI of the identified set of KPIs. The ranked set of the at least one operational recommendation is provided to the particular client.
Bibliography:Application Number: US201916442004