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What is Recommender Systems?

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Recommender Systems are AI systems that provide personalised recommendations to users based on their preferences and previous behaviour. These systems analyse large amounts of data and use Machine Learning algorithms to predict what a user might like. Recommender Systems are used in e-Commerce, content streaming, and social media.

Other Definitions

Feature Extraction

Feature Extraction refers to the process of identifying and selecting the most relevant features from raw data to enhance AI model performance. By extracting…

Decision Trees

Decision Trees are Machine Learning models that use a branching structure to make decisions or predictions. By determining the most important features and creating…

Transfer Learning

Transfer Learning is a technique that allows AI models to apply knowledge gained from one task to another related task. By leveraging pre-trained models…

Adversarial Machine Learning

Adversarial machine learning involves studying and defending AI models against attacks or adversarial examples designed to deceive the system. By understanding vulnerabilities and deploying…
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