Methods and systems for generating personalized data-streaming for a multimedia playback device

A system for generating personalized data-streaming at a multimedia playback device, the system comprising:

• an adaptive bit rate (ABR) based data-streaming logic deployed as a base model;
• a learning module comprising:
• a differential mean processor for:
• obtaining one or more parameters for a time duration based on a multimedia-playback at the multimedia playback device, the one or more parameters corresponding to a user-preference exhibited during a multimedia playback, and
• obtaining a statistical mean for the one or more parameter based on a first statistical analysis;
• a personalized feature selection module for identifying at least one parameter based on comparing the obtained mean against a predefined threshold weight associated with the one or more parameters in accordance with the base model;
• a metadata mapping module for scaling the at least one identified parameter in a predefined format as training data for training the base model;
• and
• a device categorizer for:
• applying a second statistical analysis to the at least one identified parameter of the multimedia playback device and another playback device for determining a covariance between both playback devices and determining a category of the playback device based on the covariance, and
• deploying a version of the trained base model upon the playback device based on the category of the playback device.