Recommendation System using python for $15

Recommendation System using python

Recommendation engines are a subclass of machine learning which generally deal with ranking or rating products / users. Loosely defined, a recommender system is a system which predicts ratings a user might give to a specific item. These predictions will then be ranked and returned back to the user.

Types of Recommendation system:

1. User based filtering – Building a model from user’s past behavior as well as similar decisions made by other users. This model is used to predict items that user may have interest in.
2. Content based filtering – Utilizes a series of discrete characteristics of an item in order to recommend additional item with similar properties to the user.