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Entwickelter Code einer Simulatorenkopplung der Verkehrssimulatoren VISUM und SUMO Wurde im Rahmen der Bachelorarbeit "Kopplung einer makroskopischen Mobilitätssimulation mit einer zeitdiskreten Mikrosimulation" am Lehrstuhl für Informatik 7 (Rechnernetze und Kommunikationssysteme) der Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg

  • Updated Jul 5, 2021
  • Python

The "Movie Recommendation System" project involves developing and comparing two models: a Hybrid Recommender that combines user data, movie details, genres, and sentiment analysis, and a Matrix Factorization Model that predicts user preferences based on user-item interactions. The aim is to determine which model offers more accurate movie recommend

  • Updated Aug 17, 2024
  • Jupyter Notebook

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