Anime-Recommender-System

Using anime data to build various type of recommender systems.

Data: Kaggle

• Simple Recommender System
  • Rating Based Recommender: Simple recommender system by sorting the weighted rating of all animes
• Content Based Recommender System
  • Content Based Recommender: Using genre and type to find the similarity between anime and recommend it to the user
• Collaborative Filtering
  • User Based Collaborative Filtering: Give recommendations based on the preferences of other similar users
  • Item Based Collaborative Filtering: Give recommendations based on the similarity between items and the rating history of the user