Architectural Components
Let's take a look at the architectural components of the recommendation system.
We'll cover the following...
It makes sense to consider generating the best recommendation from a large corpus of movies, as a multi-stage ranking problem. Let’s see why.
We have a huge number of movies to choose from. Also, we require complex models to make great, personalized recommendations. However, if we try to run a complex model on the whole corpus, it would be inefficient in terms of execution time and computing resources usage.
Therefore, we split the recommendation task into ...