📌 AI for Personalization Summary
AI for Personalisation refers to the use of artificial intelligence to adapt products, services, or experiences to individual users based on their preferences, behaviours, or past interactions. By analysing data, AI systems can recommend content, adjust interfaces, or offer suggestions that match a person’s unique interests. This technology is widely used in areas like online shopping, entertainment, and education to make experiences more relevant and engaging for each user.
🙋🏻♂️ Explain AI for Personalization Simply
Imagine a shop assistant who gets to know your likes and dislikes every time you visit, so they can suggest things you will probably enjoy. AI for personalisation works in a similar way, but online, by learning from your actions and preferences to make better recommendations or changes just for you.
📅 How Can it be used?
A project might use AI for personalisation to recommend articles to readers based on their past reading history.
🗺️ Real World Examples
Streaming platforms like Netflix use AI for personalisation to suggest films and TV shows to users. The system looks at what you have watched, how you rated content, and even when you paused or stopped, then recommends titles it thinks you will enjoy next.
Online retailers such as Amazon employ AI to personalise shopping experiences by recommending products based on your browsing history, previous purchases, and items often bought together by other customers.
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