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We need to create entities to represent users, albums, their favorite albums, and genres. Additionally, we need to implement AI-driven album recommendations based on user preferences, including favorite albums and genres.
Requirements:
Entities:
User: Represents users in the system with attributes like username, email, and password.
Album: Represents music albums with details such as title, artist, and release year.
FavoriteAlbum: A join table that links users to their favorite albums (Many-to-Many relationship between User and Album).
Genre: Represents different music genres that users can associate with their favorite albums and music taste.
AI Album Recommendations:
Recommendation Logic: Implement AI-driven recommendations based on:
A user's favorite genres and albums.
A user's music taste (e.g., through analysis of previously liked genres and albums).
Algorithm can be based on collaborative filtering or content-based filtering.
Relationships Between Entities:
User ↔ FavoriteAlbum ↔ Album: Users can have multiple favorite albums, and each album can be favorited by many users.
User ↔ Genre: A user can have multiple favorite genres (Many-to-Many relationship).
AlbumRecommendation: This entity will store AI-driven album recommendations based on user preferences. Each recommendation will be linked to a user and an album, with a reason for the recommendation.
User Interface:
Display album recommendations to users on their dashboard.
Allow users to interact with recommendations (e.g., mark as liked, skip).
AI Integration:
Integrate a machine learning model or recommendation algorithm to generate personalized album suggestions for users.
Provide a backend service that regularly updates recommendations based on user activity.
Issue Description:
We need to create entities to represent users, albums, their favorite albums, and genres. Additionally, we need to implement AI-driven album recommendations based on user preferences, including favorite albums and genres.
Requirements:
Entities:
Recommendation Logic: Implement AI-driven recommendations based on:
A user's favorite genres and albums.
A user's music taste (e.g., through analysis of previously liked genres and albums).
Algorithm can be based on collaborative filtering or content-based filtering.
Relationships Between Entities:
User ↔ FavoriteAlbum ↔ Album: Users can have multiple favorite albums, and each album can be favorited by many users.
User ↔ Genre: A user can have multiple favorite genres (Many-to-Many relationship).
AlbumRecommendation: This entity will store AI-driven album recommendations based on user preferences. Each recommendation will be linked to a user and an album, with a reason for the recommendation.
User Interface:
AI Integration: