Recommender Systems through Collaborative Filtering

This is a technical deep dive of the collaborative filtering algorithm and how to use it in practice. From Amazon recommending products you may be interested in based on your recent purchases to Netflix recommending shows and movies you may want to watch, recommender systems have become popular across many applications of data science. Like many other problems in data science, there are several ways to approach recommendations. Two of the most popular are collaborative filtering and content-based recommendations. Content-based Recommendations: If companies have detailed metadata about each of your items, they can recommend items with similar metadata tags.