A movie recommendation system using IMDb's weighted ratings and custom filters.
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May 31, 2024 - Jupyter Notebook
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popularity-based-filtering
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Popularity Based & Collaborative Filtering based Recommender System.
flask machine-learning numpy pandas collaborative-filtering recommender-system popularity-based-filtering
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Sep 2, 2023
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.
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Nov 27, 2023 - Jupyter Notebook
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
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May 26, 2025 - Jupyter Notebook
collaborative-filtering recommender-system knn-algorithm model-based-recommendation popularity-based-filtering
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Feb 12, 2023 - Jupyter Notebook
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
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Apr 15, 2025 - Jupyter Notebook
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