A Brief Introduction to Recommendation Systemsby@albertchristopher

A Brief Introduction to Recommendation Systems

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Recommendation systems are driven by algorithms called recommender systems. The more people are likely to use the system the more valuable it is likely to become with more people making use of it. The most classic approach used is based on collaborative filtering for Amazon, Netflix, and Spotify. The formulation of problems helps companies identify areas the users are most likely to enjoy. This has allowed Amazon Prime Video to gain 2X improvements. Recommender systems have proven to be a valuable tool to overcome the challenges faced by data science professionals.

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