Content-based Recommender Using Natural Language Processing (NLP) - KDnuggets

When we provide ratings for products and services on the internet, all the preferences we express and data we share (explicitly or not), are used to generate recommendations by recommender systems. The most common examples are that of Amazon, Google and Netflix. In this article, I have combined movie attributes such as genre, plot, director and main actors to calculate its cosine similarity with another movie. The dataset is IMDB top 250 English movies downloaded from data.world. Ensure that the Rapid Automatic Keyword Extraction (RAKE) library has been installed (or pip install rake_nltk).