There are 1 repository under recommendation-systems topic.
A collection of research on knowledge graphs
Course on Recommender Systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2024/2025.
Semantic search with embeddings: index anything
MovieGPT: A RAG, Gen AI application for Movie Recommendations
🟣 Recommendation Systems interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.
Notebooks on using transformers for sequential recommendation tasks
Regression-based Movie Recommender system that's a hybrid of content-based and collaborative filtering Recommender system Simply rate some movies and get immediate recommendations tailored for you
Research work related to producing NFT (Non-fungible Token) Recommendations.
List of all ML projects
Collaborative filtering books recommender system
This repository comprises of the projects and assignments that i have completed during my tenure at Great Lakes for the course program PGP-AIML. This repository also includes the lab work thatwas done during the classes and even those that were given as assessments.
The Movie Recommendation System is an advanced machine learning project developed in Python, aimed at providing tailored movie suggestions to users based on their preferences and viewing habits. Leveraging various machine learning algorithms and data processing techniques, this system offers a personalized and enriched movie-watching experience.
Book recommender api written in flask framework
Discover the Machine learning datasets! Diverse content for 🎓 education, 📊 research, 👥 non-profit use and experimenting. Download, merge files for 📝 convenience. Contribute to enhance language modeling, 🤖 machine learning, 🎓 education, data analysis, and 🧪 software development. Note: Content sourced for non-profit, educational use. Enjoy! ;)
✨ Recommendation Systems Using Diverse Techniques ✨
Personal project in which I analyse the data of an E-Commerce business.
A mobile application using Flutter and Python designed specifically for pregnant women to receive personalized skincare product recommendations
Curated machine learning concepts with theoretical insights and practical implementations. Ideal for beginners and practitioners.
The repository prompts the user to select the recommendation approach, user-based (correlation). Based on the selected approach and similarity metric, this function predicts the rating for specified user and item and also suggests if the item could be recommended to the user.
Django SDK for the Very Easy AI Recommendation engine
This repository contains code and analysis for a homework assignment on recommendation systems and clustering algorithms in Python. Implements techniques like minhash, LSH, feature engineering, dimensionality reduction, K-means and DBSCAN clustering.
A recommendation engine for the clever. Caidin is a Python library that empowers developers to build smart recommendation systems, including content-based and collaborative filtering methods, making personalized recommendations a breeze.
Datasets and code used for Scientific Article Recommendations
A machine learning project to develop a robust Book Recommendation System using collaborative filtering and hybrid approaches. The system predicts user ratings and provides personalized book recommendations, evaluated with metrics like RMSE, Precision, Recall, and F1 Score
this project is a movie recommendation system that combines multiple algorithms to provide personalized movie suggestions. The system utilizes content-based filtering, collaborative filtering, neural collaborative filtering, and gradient boosting techniques to generate accurate and diverse recommendations.
A hybrid movie recommendation system designed to deliver personalized and accurate suggestions by combining user preferences, item attributes, and collaborative patterns, ensuring a seamless and engaging experience.
Various recommendation approaches on IBM Watson platform
Collection of team projects from grad school
The objective of this project is to build a recommendation system to recommend movies to users based on the ratings given to different movies by the users.
This is the material for Jose Portilla's Spark and Python for Big Data and ML course.
This is the content of Jose Portilla's Udemy course on Scala and Spark for Big Data and Machine Learning.
This repository showcases a collection of Python mini projects that cover a wide range of concepts and applications. From data analysis and recommendation systems to statistical testing and visualization, these projects demonstrate proficiency in Python, data manipulation, and algorithm development.
Recommendation Systems course at AGH UST 2023/2024. This repository is packed with Jupyter Notebook files, written in Python, to guide you through the theory and implementation of recommendation algorithms.