Implement AI-based Recommendations for Artists, Albums, and Songs

[ArdaHalim2]

Issue Description:

We need to implement an AI-driven recommendation system that will suggest personalized artists, albums, and songs to users based on their music preferences and activity. The system should analyze user behavior, favorite genres, and favorite albums to provide relevant and engaging recommendations.

Requirements:

• AI-driven recommendations: The system should provide recommendations for:
• Artists
• Albums
• Songs
• Input Data:
• Users' favorite albums and artists.
• Users' listening history or song interactions (if available).
• Users' favorite genres.

Recommendation Logic:

• The AI should recommend new artists that match the user’s music taste.
• It should suggest albums based on genres or artists the user has liked.
• The system should suggest songs based on listening patterns and favorite tracks.

User Interface:

• Recommendations should be visible on the user dashboard.
• Users should be able to view recommended artists, albums, and songs.
• Users should be able to like or dislike recommendations to help improve the AI model.
• Integration with existing user data: The recommendations should be based on the user data stored in the system, such as their favorite albums, genres, and artists.