Anime-Recommender-System

Aryaman

Data Scientist
Python
Visual Studio Code

About Dataset

Context

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.

Content

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).

Inspiration

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

Model

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