Anime Recommendation System

An Anime recommendation engine that displays the top 10 popular anime based on the users' ratings. It also takes in user input, where the user can enter an anime title. The system will use that title and recommends 5 anime using the Collaborative Filtering approach and another 5 anime using the Content Based Filtering approach.

Motivations

Anime recommendations aren’t fine tuned to each specific person. A recommendation engine can take the user’s interests into account and make recommendations based on it.

Team Members

• Team Member 1 Name: Liulan Zheng

• Slack: Liulan Zheng

• Github Profile: https://github.com/liulanz

• Team Member 2 Michelle Yu

• Slack: Michelle Yu

• Github Profile: https://github.com/yumichelle

Data Source

• Anime Dataset with Reviews - MyAnimeList on Kaggle

Processing Data

• Anime-Data-Analysis