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popularity-based-filtering

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Sravyatogarla / Movie-recommendation-system

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A complete Movie Recommendation System project implementing Popularity-Based, Content-Based, and Collaborative Filtering models using the MovieLens dataset. Built with Python, Pandas, and Plotly, featuring interactive inputs and visualizations.

python data-science machine-learning sql scikit-learn jupyter-notebook pandas data-visualization collaborative-filtering recommender-system movielens capstone-project edureka content-based-filtering popularity-based-filtering movie-recomendation-system
  • Updated May 26, 2025
  • Jupyter Notebook

Subrat1920 / Book-Recommendation-System

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The Book Recommendation System is designed to provide personalized book suggestions to users based on their preferences and past interactions. Using popular-based filtering and collaborative filtering, the system helps users discover books they may enjoy. The project follows a modular coding approach, making it scalable and maintainable.

python modular collaborative-filtering recommendation-system sqlite3 oops-in-python popularity-recommender popularity-based-filtering
  • Updated Apr 15, 2025
  • Jupyter Notebook

PREETHIKA-N-C / Movie-Recommendation-System-Using-Cosine-Similarity

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This movie recommendation system employs content-based, collaborative, and popularity-based filtering techniques, using Cosine Similarity, to provide personalized movie suggestions. By combining diverse algorithms, the system enhances user experience by offering a well-rounded selection of films tailored to individual preferences.

collaborative-filtering cosine-similarity content-based-filtering popularity-based-filtering
  • Updated Nov 27, 2023
  • Jupyter Notebook

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