ANIME RECOMMENDATION-SYSTEM
GVHD: Võ Nguyễn Lê Duy
Group 1:
•Trần Lê Bảo Trung - 21521598
•Huỳnh Thái Dương - 20520461
•Phạm Kiên - 20521490
•Nguyễn Vũ Hoàng Long - 21520058
•Phạm Thanh Lâm - 21520055
1. Introduction
2. Dataset overview
3. Methods
4. Evaluation
OVERVIEW
5. Conclusion
6. Demo
Anime is a popular form of entertainment originating from Japan. It encompasses a wide range of
animated TV series, movies, and OVAs (original video animations) that cater to various genres and
target audiences.
Due to the vast number of anime titles available, recommendations play a crucial role in helping
enthusiasts discover new shows that align with their interests. Recommendation systems leverage
user ratings, genres, and other factors to suggest anime series that users might enjoy based on
their preferences.
1. INTRODUCTION
The Anime Recommendation System is a ML project designed to provide personalized anime
recommendations.
By using collaborative filtering and content-based filtering techniques, the system suggests animes to
users based on their preferences and the preferences of similar users.
1. INTRODUCTION
1. INTRODUCTION
