Recommendation systems play a major role in the discovery process for a user. Think of an e-commerce catalog that has thousands of distinct products. Additionally, variants of a product also exist. In such cases, educating the user about the products or events (in case certain products are on sale) becomes the key to increasing sales.
Movie recommendations
Getting ready
In this recipe, we will be learning about building a recommendation system for a database of ratings given by users to movies. The objective of the exercise is to maximize the relevance of a movie to a user. While defining the objective, we should also consider that a movie that is recommended might still be relevant, but might not be watched by the user immediately...
