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.

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

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