A recommendation system in AI is a type of technology that uses algorithms to suggest content to users. Those use data, machine learning, and NLP to provide personalized suggestions based on an individual's preferences and behavior. These systems are widely used by companies such as Amazon, Netflix, and Spotify to suggest products, movies, or music to users based on their past interactions with the platform.
For example, a recommendation system might track a user's purchases or view history on an e-commerce website and use that information to suggest similar products that the user might like. A music streaming service might use a recommendation system to suggest playlists or songs based on a user's listening habits. By providing relevant recommendations, recommendation systems aim to improve the user experience and increase customer engagement.
How AI is Used in Recommendation Systems
Big data refers to vast and complicated data sets that are created and collected in real time from multiple sources.
Predictive analytics in AI refers to the use of statistical models and ML techniques to analyze data and make predictions about future outcomes.
Intelligent Process Automation (IPA)
IPA is a hybrid approach that enables systems to not only execute predefined tasks but also to learn from data, adapt to new scenarios, and make decisions.