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#

content-based-filtering

Here are 274 public repositories matching this topic...

Transforming skincare recommendations: our hybrid system combines KNN, CNN, and EfficientNet B0 for personalized advice. Published in IEEE, with 80% validation accuracy and 87.10% training accuracy.

  • UpdatedApr 29, 2024
  • Jupyter Notebook

Objective of the project is to build a hybrid-filtering personalized news articles recommendation system which can suggest articles from popular news service providers based on reading history of twitter users who share similar interests (Collaborative filtering) and content similarity of the article and user’s tweets (Content-based filtering).

  • UpdatedMar 14, 2020
  • Jupyter Notebook

MelodyMind offers personalized music recommendations, from a real-time Last.fm API-powered app to an advanced hybrid system combining content-based and collaborative filtering with LightFM.

  • UpdatedJun 12, 2025
  • Jupyter Notebook

A react native(UI), FastAPI (Server) and MySQL(DB) non-fungible token market place with a machine learning content-based filtering recommendation engine.

  • UpdatedAug 13, 2023
  • JavaScript

Movie recommendation system with Python. Implements content-based filtering (TF-IDF + cosine similarity), collaborative filtering with matrix factorization (TruncatedSVD), and a hybrid approach. Evaluates with Precision@K, Recall@K, and NDCG. Includes rating distribution plots, top movies, and sample recommendations.

  • UpdatedSep 11, 2025
  • Python

🎬 Create an ML-powered movie recommendation system that uses content-based filtering to deliver 30 clever, funny, and tailored film picks based on your favorite movie. Harness Python, pandas, and scikit-learn—with a sprinkle of humor—to spark epic movie nights and uncover hidden cinematic treasures you’ll adore.

  • UpdatedAug 13, 2025
  • Jupyter Notebook

Movie Website built on python Django framework; Uses Content Based Predictive Model approach to predict similar movies based on the contents/genres similarities

  • UpdatedJul 27, 2020
  • Python

Collaborative Filtering NN and CNN based recommender implemented with MXNet

  • UpdatedApr 14, 2018
  • Python

Full-stack hybrid book recommendation system combining Collaborative Filtering and Content-Based Filtering with weighted hybrid scoring, modular data pipelines, and model persistence. Deployed via Flask with responsive HTML/CSS UI and integrated CI/CD for production-ready, scalable, and interactive recommendations.

  • UpdatedOct 21, 2025
  • Jupyter Notebook

Proyek akhir recommendation system untuk membangun model machine learning yang dapat memberi top-N anime rekomendasi

  • UpdatedOct 2, 2022
  • Jupyter Notebook

Recommendation system for inter-related content. Uses natural language processing and collaborative filtering. Provides recommendations for books, movies, tvshows

  • UpdatedSep 5, 2019
  • HTML

A python notebook for building collaborative, content-based, and ml-based recommender systems with Sklearn and Surprise

  • UpdatedApr 20, 2023
  • Jupyter Notebook

Recommending movies to user using various Colaborative Filtering and Content Based Filtering.

  • UpdatedMar 26, 2020
  • Jupyter Notebook

recommending recipes with content-based filtering approach

  • UpdatedSep 5, 2024
  • Jupyter Notebook

Posts/Feeds recommendation engine based on content based and collaborative filtering methods

  • UpdatedJun 22, 2020
  • Jupyter Notebook

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