Anime-Recommender-System

This data set contains information on user preference data from 73,516 users on 12,294 anime. Each user is able to add anime to their completed list and give it a rating and this data set is a compilation of those ratings.

Anime.csv

anime_id - myanimelist.net's unique id identifying an anime. name - full name of anime. genre - comma separated list of genres for this anime. type - movie, TV, OVA, etc. episodes - how many episodes in this show. (1 if movie). rating - average rating out of 10 for this anime. members - number of community members that are in this anime's "group". Rating.csv

user_id - non identifiable randomly generated user id. anime_id - the anime that this user has rated. rating - rating out of 10 this user has assigned (-1 if the user watched it but didn't assign a rating).

Building a better anime recommendation system based only on user viewing history.

I have used Cosine Similarity, KNN as well as Association Rules to create recommendation systems