This chapter is about strategies to manage my models. I know their strength and weakness well, based on which I lead them to work together and go towards better predictions.

My Approaches on Recommender System:

There are 3 main axes:

1. Deep Learning
2. Collaborative Filtering
3. Tree Method

There are a lot of classical algorithms out there with well developed packages

For example: XGBoost, LightGBM, ExtraTrees, RandomForests, KNN, Logistic Regression, Naive Bayes, Stochastic Gradient Descent etc.