Summary
In this chapter, we successfully built a recommendation system that can recommend movies to users based on their preferences. First, we defined what a recommendation model is before briefly talking about the three approaches to designing a recommendation system. Then, we talked about neural network embeddings and why we decided to use them to create our recommendation model. Finally, we put together all the concepts we've learned about by building a movie recommendation model that can recommend the specified number of movies to a user.
With the knowledge you've gained in this chapter, you can easily create a recommendation system that can be embedded in your JavaScript applications.
In the next and final chapter, you'll build another hands-on application using Danfo.js and the Twitter API.