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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

Evolutionary Computation

Evolutionary Computation is a branch of AI inspired by biological evolution and natural selection. It involves using algorithms to mimic evolutionary processes such as…

Multimodal Learning

Multi-Modal learning refers to AI models that learn from multiple sources of data, such as text, images, and audio. By incorporating information from multiple…

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…

Human-in-the-Loop

Human-in-the-loop refers to a collaborative approach where humans and AI systems work together to achieve optimal results. It involves combining human expertise, judgement, and…
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