What is Collaborative Filtering?
In Collaborative Filtering, we tend to find similar users and recommend what similar users like. In this type of recommendation system, we don’t use the features of the item to recommend it, rather we classify the users into clusters of similar types and recommend each user according to the preference of its cluster.
There are basically four types of algorithms o say techniques to build Collaborative filtering recommender systems:
- Memory-Based
- Model-Based
- Hybrid
- Deep Learning
Collaborative Filtering in Machine Learning
If this time you are watching a horror video on youtube then next time you will automatically see some more horror videos in your feed have you ever thought about how this thing works? Like how an application was able to get to know about your choices and likes. This is exactly what is popularly known as Recommendation Systems.
Contact Us