AnimeRecommendation

user-guide(coding)

source ~/<your_path>/myenv/bin/activate
python run.py

what kinds of module we should impl?

1. UI
   • Develop a user-friendly front-end interface where users can search for movies, view recommendatins, and intersect with the website.
2. User Profiles
   • Create user profiles to store user information and historical interactions with movies. This can include user ratings and other relevant data
3. Anime databases
   • build a database or use an existing one to store information about animes. Include details like anime titles, genres, desciptions, cast, release year, and any other relevant attributes.
4. Content-Based Recommendation Engine
   • Implement a content-based recommendation engine that analyzes the attributes of animes and user preferences.
   • Calculate similarity scores between animes and recommend animes similar to those a user has previously liked.
5. User-Based Recommendation Engine:
   • Implement a user-based collaborative filtering recommendation engine
   • Calculate user similarity scores based on their past interactions and ratings.
   • Recommend movies liked by users with similar tastes to the target user.
6. Hybrid Recommendation Algorithm:
   • Develop a module that combines recommendations from both content-based and user-based algorithms. We can use a weighted approach to blend the recommedations from each method.
7. Authentication and User Management:
   • Implement user authentication and management features to handle user accounts, login, registration, and password recovery(wait).