Этот репозиторий содержит исходный код системы рекомендаций
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Updated
Apr 7, 2024 - Python
Этот репозиторий содержит исходный код системы рекомендаций
Movie Recommender API: FastAPI-based backend for movie recommendations using collaborative filtering.
Anime Recomender System
This project implements a robust recommender system for book recommendations, leveraging ensemble methods, user-specific strategies, XGBoost, and extensive data preprocessing to achieve high performance in the Recommender System 2023 Challenge hosted by Kaggle for students of Politecnico di Milano's Recommender Systems course.
In this section, we will create a recommendation system on the movie meta dataset.
Education purpose project to create a recomendation posts service for random social network / Учебный проект по созданию рекомендательной системы постов в рамках программы Karpov.Courses Start ML.
Scientific paper reviewer recomendation based on a text analysis technique and the bag-of-words concept.
Building a collaborative filtering recommender systems on books dataset
Simple movie recommendations systems built using Content-Based Filtering methodology, Recommendations are based on genre, director, cast, and movie description.
Hybrid movie recommendation web app using Machine Learning, the movie DB API, and Flask.
Official PyTorch implementation for "Multi-grained Hypergraph Interest Modeling for Conversational Recommendation".
Some notes on AI/ML and Mathematics
IBM Machine Learning Professional Certificate with Coursera
My kaggle Notebooks
🎥👨🔬 Big Data Final Project to create Recommendation System using Alternating Least Squares. This Recommendation uses explicit data such as rating as input to methods
Crop recommend System on the basis of location .
Media player written in python and a small recommendation service
Leveraging Neo4j for recommending Job
A python project to extract Association Rules from IranITJobs2021 dataset using Apriori algorithm.
Leveraging Neo4j for recommending Job
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