GitHub topics: contentbasedfiltering
noar689/carbon-footprint-reduction
ML | recommendation system | low carbon products
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karan3691/Ecommerce-Recommender
A machine learning-based recommendation system designed for an e-commerce platform.
Language: Python - Size: 2.45 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
Chandru-21/End-to-End-Movie-Recommendation-System-with-deployment-using-docker-and-kubernetes
Content Based Recommendation system uses attributes of the content to recommend similar content. It doesn't have a cold-start problem because it works through attributes or tags of the content, such as actors, genres or directors, so that new movies can be recommended right away.
Language: Python - Size: 5.17 MB - Last synced at: 17 days ago - Pushed at: almost 3 years ago - Stars: 15 - Forks: 5
steveee27/Hotel-Recommendation-System
This project develops a hotel recommendation system using content-based filtering. By analyzing hotel features such as room types, amenities, and pricing, it provides personalized suggestions for users. The model uses techniques like TF-IDF and evaluates its performance based on Precision@5, achieving high accuracy in recommendations.
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al-chris/Movie-Recommendation-System
Demonstration on different types of recommender systems
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BNTechie/Movie-Recommendation-Engine
Buiolding up a recommendation engine for movie with Content based model and collaborative filtering methods.
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Sakata234Gintoki/Recommendation-System
I created movie recommender system using content based filtering.
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RaunakSingh0312/MovieRecommendationSystem
Welcome to our movie recommendation system project repository! This repository hosts the codebase for our machine learning project focused on developing a movie recommendation system. Our aim is to provide users with personalized movie recommendations.
Language: Jupyter Notebook - Size: 6.85 MB - Last synced at: 10 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Aninditaacha/CODSOFT-TASK-3
I developed a simple content-based recommendation system that suggests movies to users based on their preferences. Users can enter a movie they like, and the system recommends other movies with similar genres. This project helped me understand the basics of recommendation systems and content-based filtering techniques.
Language: JavaScript - Size: 5.86 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
CactusKK/Trend24
This project is a corporate partnership with the online bookstore platform 'YES24', where we collect data from various platforms such as YouTube to analyze the latest trends and develop a service that recommends books matching these trends.
Language: HTML - Size: 71.9 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0
shromana98/Movie-Recommendation-System
Movie Recommendation System (Content Based)
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om-mapari/Movie-Recommender-App
This project involves developing a content-based recommendation system that utilizes advanced machine learning techniques to suggest movies similar to the user's preferences and watching history.
Language: Jupyter Notebook - Size: 16.8 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
alyalsayed/TEKNOSOFT
Tecknosoft's Intern TASK : Movies Recommender System and deploying it in huggingface .
Language: Jupyter Notebook - Size: 66.4 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
y656/Movie-Recommender-Systems
Recommender systems
Language: Jupyter Notebook - Size: 1.28 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1
vasco-oliveiraa/MIND-Recommendation-System
This project is a proof-of-concept news recommender system. It utilizes recommender models to deliver personalized news article recommendations based on user preferences and article characteristics. The project explores data analysis, model development, evaluation, and business application potential, demonstrating the value of tailored suggestions.
Language: Jupyter Notebook - Size: 938 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
qvunguyen/movie-recommendation-system
The Movie Recommendation System is a Python application that provides personalized movie suggestions using collaborative and content-based filtering techniques. Utilizing the MovieLens 25M dataset, it offers customizable recommendations based on user ID, movie title, and desired suggestion count, creating an engaging and tailored movie discovery.
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AchintaMitra23/Movie-Recommendation-System-Using-Sentiment-Analysis
System is going to filter out the best possible movies basis on some criteria in recommendation area even after analyzing and previewing the reviews of the particular movie using sentiment analysis theory.
Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
gmayuri1904/Movie-Recommendation-System
The application uses content based filtering to make recommendations. For every movie selected, 12 recommendations are made based on their cosine similarity with the selected movie. An API feteches the poster image of the movie and displays them in an image grid to the user The database offers nearly 5000 movies to select from
Language: Python - Size: 21.5 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
mauryashobhit/ps_xbox_recommendation_system
A recommendation system for playstation and x box games .
Language: HTML - Size: 59 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
Bharathraam99/Hybrid-Movie-Recommender
Hybrid movie recommender using Twitter handle and content-based filtering.
Language: Python - Size: 124 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
Gift-Ojeabulu/Movie-Recommendation-System
A Content-based movie recommendation system that recommends movies to a user by using the similarity of movies. This recommender system recommends movies based on their description or features. A useful application of machine learning in the Media/communication Industry
Language: JavaScript - Size: 25.2 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1
