In this project I clustered my Spotify music using its audio features with the goal of finding similar music in each of the clusters.
There are three main categories of recommendation algorithms: collaborative filtering, content-based filtering, and hybrid recommendations.
- Collaborative filtering is based on collecting and analyzing a large amount of information about the behavior, activities, and preferences of users and the predicting what a user likes based on the similarity of the user to other users.
- The content-based filtering algorithm is based on a description of the element and a profile of a user’s preferences. These algorithms try to recommend items that are similar to those that a user has liked in the past.
- The hybrid recommendation algorithm combines collaborative filtering and content-based filtering. In some cases, hybrid approaches can be more effective.
