Using Rstudio to create/develop, freely, a Recommendation System:

Steps/Methods to use:

Data pre-processing Exploring similar data Viewing Most Viewed Movies Ratings heatmap Data preparation Data normalization Data binarization Collaborative Filtering System (collaborative filtering) Building the Recommendation System Content-based Recommendation System to recommend movies Bag of Words

To do this, you can base yourself on the content of this practice and/or on any other source. The theme is free. You can stick with books/movies or use other topics that appeal to you more. In any case, it is about applying what you have learned (theory and practice) and continuing to investigate/learn about this technique that is widely used today. Here are 2 resources that can help you get started:

The bind_tf_idf library function tidytextmay be useful to you.

At BML '21 they discussed this topic. The presentation has been developed in the form of a paper , being available here: https://www.researchgate.net/publication/360856267_Netflix_Recommendation_System_based_on_TF-IDF_and_Cosine_Similarity_Algorithms