GitHub topics: surprise-library
LeeJiaYu99/Collaborative-Filtering-Algorithms-by-Surprise
A repo to explore various collaborative filtering algorithms in Surprise package by Scikit Python.
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usaeva-a/PET-projects
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abhipatel35/MovieMatcher-Movie-Recommender-System
A robust movie recommendation system using the MovieLens dataset, employing Collaborative Filtering, Matrix Factorization, and Hybrid Models to enhance recommendation accuracy and diversity.
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ushariRanasinghe/Movie-recommendation
Movie recommendation system with Collaborative filtering and kNN recommendation, featuring streamlit frontend
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lenabisz/streamlit_movie_recommendation
Streamlit presentation of the movie recommendation project during data scientist training at datascientest.com.
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auniyal486/Book-Recommendation-System
A book recommendation system using model based collabritive filtering. It is based on SVD machine learning model. It generate top 10 recommendation of books.Here i used surprise library.
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DrPoojaAbhijith/Netflix-Recommendation-Engine
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MoritzBaumann/Movie_Recommenders
Did you ever wonder how the recommendations on Netflix work? Find out in this project, where I build three basic movie recommenders and implement them in a streamlit App.
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AkashBangalkar/Netflix-Movie-Recommendation
Machine Learning - Recommendation System
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julespulpfiction/Recommender_System
A data science summer project about building a novel context-aware matrix-factorisation-based multi-feedback hybrid recommender system
Language: Python - Size: 57.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
storieswithsiva/Movie-Recommendation-Netflix
🔮Trying to find the best movie to watch on Netflix can be a daunting. Case Study for Recommendation System of movies in Netflix.🔧
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izlata/book_recommender_system
A Book Recommender System: Collaborative Filtering using Surprise (k-NN Baseline model)
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ebeui/Brainstation_Capstone
Tasty Trail: Restaurant Recommendation System
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FridahKimathi/Book-Recommendation-System
The project used Python to create a personalized book recommendation system that analyzed users' past ratings on books to identify their preferences and patterns and suggested books that the user is likely to enjoy but has not read yet.
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enockjamin01/ML-ALGORITHM
This Repository provides the basic code snippets for all the most widely used ML Algorithms like Supervised, Unsupervised, and Recommender system algorithms.
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enockjamin01/ML-ALGO
This Repository provides the basic code snippets for all the most widely used ML Algorithms like Supervised , Unsupervised and Recommender system algorithms
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adinas94/MovieLens-Recommendation-System
Recommendation engine in Surprise that populates movie recommendations for users based on their existing preferences.
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OsamaAlhalabi/Good-reads-recommender
Implementation for two different types of recommendation systems (Content-based and collaborative filtering)
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satrapankti/Recommender_System
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klaudia-nazarko/collaborative-filtering-python
This repository contains collaborative filtering recommender system build in Python with surprise package to predict book ratings in Book-Crossing dataset.
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sumanthvrao/MovieBuddy
Movie recommendation system to find common movie interests among a group of people.
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jacobceles/Movie-Recommendation-Rating-Prediction
Using the MovieLens dataset with Surprise to compare different algorithms for rating prediction, and also create a movie recommendation system on top of it.
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luthfiraditya/Ecommerce-Recommendation-System
I built recommender systems for recommending products to user using Model-based recommendation system.
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Balajirvp/Recommender-Systems---Content-Based-Systems-and-Collaborative-Filtering
Created Recommender systems using TMDB movie dataset by leveraging the concepts of Content Based Systems and Collaborative Filtering.
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shulavkarki/Collabtrative-Filtering-with-SVD
A Movie Recommendation System using Collabrative Filtering
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somjit101/Netflix-Movie-Recommendation
A case study of the Netflix Prize solution where, given anonymous data of users and the ratings given to movies, the objective to provide recommendations to users for movies which they would like, based on their past activity and taste.
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SajalSinha/ProductRecommendationEngine
Deployed Product Recommendation Model using collaborative filtering.
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giulio-derasmo/Page-Rank-and-Recommendation-Systems
Use the Scikit-Network for PageRank algorithms including Topic-specific PR and improve the performance of various recommendation-systems using Surprise library
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stxupengyu/MF-for-Movie-Recommendation
使用矩阵分解方法进行电影推荐的评分预测。The matrix factorization method is used to predict the rating of movie recommendation.
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stxupengyu/Yelp-Recomendation-Algorithms
在Yelp数据集上摘取部分评分数据进行多种推荐算法（SVD,SVDPP,PMF,NMF）的性能对比。Some rating data are extracted from yelp dataset to compare the performance of various recommendation algorithms(SVD,SVDPP,PMF,NMF).
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Nehal-Pawar/Recommender-System
Predicted missing ratings using SVD algorithm from the Surprise Library for items from a file containing user ratings for multiple items by comparing a user’s ratings for available items with those of other user’s ratings and the project was built in Python
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AyatKhraisat/Collaborative-Filtering-Recommender-System
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manish-vi/netflix_movie_recommendation
Predict user rating for a netflix movie.
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kimjinho1/Movies-Recommender-System
영화 추천 시스템
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romario076/Recommendation-Systems-Tutorial
Recommendation Systems tutorial
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