Learn how to build a movie recommendation system based on collaborative filtering using Python. Understand the different types of recommendation systems, prepare and process the movies dataset, and define and train the model using K-nearest neighbors. Get personalized recommendations based on user behavior and discover the advantages and limitations of collaborative filtering.
Table of contents
PrerequisitesDifferent Types of Recommendation SystemsHow to Prepare and Process the Movies DatasetHow to Build the User-Item MatrixHow to Define and Train the ModelHow to Get Recommendations from the ModelAdvantages and Limitations of Collaborative FilteringConclusionSort: