Collaborative filtering recommendation system

Recommendation systems are used everywhere in the Internet today. From e-commerce sites to restaurants, hotels, tickets, events, and so on. are recommended to us everywhere. Have we ever asked ourselves how do they know what will be the best for us? How do they come up with this calculation of showing the items we might like? The answer is most sites use collaborative filtering (CF) to recommend something. Collaborative filtering is a process of making automatic prediction (filtering) about the interests of a user by analyzing other user's choices or preferences (collaborative). We will build a simple recommendation system using the Pearson correlation method where a similarity score between two ...

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