Systems and methods utilizing machine learning techniques to manage content in standalone multi-tenancy environments

Systems and methods utilizing machine learning techniques to manage content in standalone multi-tenancy environments

A system described herein may allow for the intelligent, dynamic selection of an active tenant for a standalone, multi-tenant environment, such as a multi-operator bus or other vehicle. Intelligent selection may be performed using machine learning and/or other suitable techniques, which may be based...

Ausführliche Beschreibung

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Bibliographische Detailangaben
1. Verfasser: Yussouff, Ashraf
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
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:A system described herein may allow for the intelligent, dynamic selection of an active tenant for a standalone, multi-tenant environment, such as a multi-operator bus or other vehicle. Intelligent selection may be performed using machine learning and/or other suitable techniques, which may be based on similarity to previous usage by a registered tenant, and may further include analyzing structured and/or unstructured data regarding the environment. In addition, the system may allow different profiles, content, or content templates to be associated with different tenants, thus granting a high level of dynamic flexibility in tailoring the content and/or services provided to the users of the environment based on the selected tenant.