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

Unsupervised Learning is a Machine Learning technique where models learn patterns and structures within data without labelled examples. By uncovering hidden relationships and clustering…
Clustering in AI refers to the process of grouping similar data points together based on their inherent characteristics or attributes. By identifying patterns or…
Machine Vision refers to the use of AI and computer vision techniques to enable machines to perceive and understand visual information. It involves analysing…
Knowledge-Based Systems are AI systems that utilise domain-specific knowledge and rules to make informed decisions or provide expert advice. These systems incorporate human expertise…