Using Singular Value Decomposition to Build a Recommender System
Singular value decomposition is a very popular linear algebra technique to break down a matrix into the product of a few smaller matrices. In fact, it is a technique that has many uses. One example is that we can use SVD to discover relationship between items. A recommender system can be build easily from this.
In this tutorial, we will see how a recommender system can be build just using linear algebra techniques.
After completing this tutorial, you will know:
- What has singular value decomposition done to a matrix
- How to interpret the result of singular value decomposition
- What data a single recommender system require, and how we can make use of SVD to analyze it
- How we can