Recommender Systems with Machine Learning - Similarity Index

The video tutorial explains how to calculate the similarity index using the linear kernel from the SK learn library. It guides through the process of developing a similarity matrix using TF-IDF matrices and introduces the concept of building a recommendation engine based on this similarity matrix.

Describe the process of writing the similarity matrix after importing the necessary libraries.

What are the next steps after developing the similarity matrix for creating a recommendation engine?