Z-ENG: Personalized Movie Recommendation System
2025-2026 ősz
Szoftver
Téma leírása
The project aims to develop a movie recommendation system that suggests films tailored to individual user preferences. Using publicly available datasets such as MovieLens, the system will analyze user ratings and movie attributes (e.g., genres, keywords) to generate personalized suggestions. The solution will implement different recommendation approaches, such as popularity-based, content-based, and collaborative filtering, and evaluate their effectiveness. A simple user interface (web or desktop) will allow users to view recommendations and interact with the system. The project emphasizes practical implementation, user experience, and performance evaluation using standard metrics.
Feltételek
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Basic knowledge of: (1) Python and/or Java (2) Web Development (3) SQLite / MySQL / PostgreSQL (4) Any other skills that the work may requires
Maximális létszám:
1 fő