GitHub topics: collaborative-filtering

Repositories

Wonuabimbola/movie-recommendation-system

Movie recommendation system using content based and collaborative filtering methods

Language: Jupyter Notebook - Size: 4.75 MB - Last synced at: 4 months ago - Pushed at: almost 4 years ago - Stars: 3 - Forks: 0

obadakhalili/recommender-system

Practicing traditional filtering approaches for recommender systems on Kaggle expedia-hotel-recommendations problem | University Project

Language: Jupyter Notebook - Size: 425 KB - Last synced at: about 2 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

sjhaluck/Recommendations-for-IBM-Community

(Udacity Data Scientist Nanodegree Project) Recommendation functions for collaborative filtering and content-based recommendations

Language: HTML - Size: 4.08 MB - Last synced at: about 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

KalyanM45/Book-Recommendation-System-Using-Collaborative-Filtering

This repository contains the source code of book recommendation system using collaborative filtering. The system recommends the books based on the similarities between user profiles

Language: Jupyter Notebook - Size: 24.4 MB - Last synced at: 12 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

professoroakz/recommenders-deconstructed

A repo for implementing, understanding and analyzing recommender systems in Python.

Language: Python - Size: 4.88 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1

chanddu/Movie-Recommender-System

Recommender System (Java, Apache Spark)

Language: Java - Size: 5.86 KB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 8 - Forks: 3

debowin/gpu-parallel-recommender-system

GPGPU Parallel User-User Collaborative Filtering System in CUDA C

Language: C++ - Size: 30.8 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 0

akinbezatoglu/pyspark-recommendation-system Fork of muratsahilli/pyspark-recommendation-system

Anime recommendation system with pyspark

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rachitamehta/AI-ML-Recommendation-System---Collaborative-Filtering---Book-Rental

Developed a Recommendation Model using Collaborative Filtering to suggest books to readers based on the behavior of similar users

Language: Jupyter Notebook - Size: 21.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

JoonyoungYi/MCAM-numpy

Low-rank Matrix Completion using Alternating Minimization

Language: Python - Size: 43.9 KB - Last synced at: about 1 year ago - Pushed at: almost 7 years ago - Stars: 20 - Forks: 5

namunaacharya/nextread

NextRead is a book recommender system built for Book Lovers. Simply enter your current favourite book and get peronalized book list to find your new favourite.

Language: HTML - Size: 34.6 MB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

EngMahmoudHafez/CCSED-2025-BACKEND

Size: 20.5 KB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

zishansami102/Recommendation-Engine

A recommendation algorithm implemented with Biased Matrix Factorization method using tensorflow and tested over 1 million Movielens dataset with state-of-the-art validation RMSE around ~ 0.83

Language: Python - Size: 147 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 15 - Forks: 6

codelibra/Retailrocket-recommender

Retail Rocket Recommender Challenge

Language: Jupyter Notebook - Size: 60.5 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

Sonny-Inkai/HOTEL-RECOMMENDATION-SYSTEM

Language: Jupyter Notebook - Size: 141 MB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

fblupi/recommender-system-cf-java

Recommender System based on Collaborative Filtering using Java

Language: Java - Size: 860 KB - Last synced at: 23 days ago - Pushed at: about 7 years ago - Stars: 3 - Forks: 3

hand10ryo/PyTorchCML

PyTorchCML is a library of PyTorch implementations of matrix factorization (MF) and collaborative metric learning (CML), algorithms used in recommendation systems and data mining.

Language: Python - Size: 418 KB - Last synced at: 8 days ago - Pushed at: almost 3 years ago - Stars: 20 - Forks: 2

harshakokel/Basket

This repository contains implementations of various ML/NLP/CV algorithms including Bayesian-Networks, HMM, Means, various gradient descents, loopy belief propagation, etc.

Language: Jupyter Notebook - Size: 37.9 MB - Last synced at: about 2 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

proxyflux/news-recommender-system

Collaborative filtering and Content based filtering Recommender System

Language: Jupyter Notebook - Size: 1.04 MB - Last synced at: 3 months ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

sonadukane18/Music_Recommendation_System

A Personalized music recommendation system that suggests tracks, albums, and playlists based on user preferences and listening history, enhancing the music discovery experience.

Language: Jupyter Notebook - Size: 95.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Aayush-Joshi-01/Cartoon-ecommerce

Project made for Kriyeta Hackathon organised by Acropolis Institute of Technology and Research within 48 hrs

Language: Jupyter Notebook - Size: 46.3 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 4

egecam/MusicRecommendationSystem

A simple model of Music Recommendation System with using Collaborative Filtering.

Language: Python - Size: 6.84 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

SushrutGaikwad123/Movie-Recommendation-system-

This System recommends movies to users based on their preferences. Collaborative Filtering algorithms and libraries like Pandas, Numpy, Sklearn, Ast, Streamlit, Request and Pickle for recommendation systems are used.

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Piyushmittal2192/Recommender-System-Item-Based-Collaborative-Filtering

Recommender System using Item Based Collaborative Filtering

Language: Jupyter Notebook - Size: 11.7 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

leiyunin/Hybrid-Recommendation-System

This project developed and optimized a hybrid recommendation system that processes over 450,000 training data points and 142,000 validation data points. The system combines user ratings, merchant details, and user reviews to predict users' ratings for restaurants they have not visited.

Language: Python - Size: 4.88 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

JoonyoungYi/MCCO-numpy

Exact Matrix Completion via Convex Optimization

Language: Python - Size: 12.7 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 4

SivaramTechie/Movie-Recommendation-System

This project is a movie recommendation system implemented using Apache Spark and Flask. It recommends movies based on genre, year, and user ratings. The system offers an interactive web interface for easy exploration of recommended movies. Powered by collaborative filtering techniques, it provides personalized recommendations tailored to users' pre

Language: HTML - Size: 2.76 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

leiyunin/Locality-Sensitive-Hashing-and-Collaborative-Filtering-on-Yelp-Data

The assignment comprises two main tasks: implementing LSH to identify similar businesses based on user ratings and developing various collaborative filtering recommendation systems to predict user ratings for businesses.

Language: Python - Size: 6.84 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

hmtalha786/Book-Recommendation-System

Collaborative Filtering based Recommender for books

Language: Jupyter Notebook - Size: 23.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

udellgroup/oboe

An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

Language: Python - Size: 325 MB - Last synced at: 9 days ago - Pushed at: over 3 years ago - Stars: 82 - Forks: 17

melaniasala/RecSys-Competition

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.

Language: Jupyter Notebook - Size: 166 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

leorrose/AnimeRS

An anime recommendation system

Language: Jupyter Notebook - Size: 55.6 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

ishugaepov/Awesome-Machine-Learning-Papers

📖Notes and remarks on Machine Learning related papers

Language: HTML - Size: 603 MB - Last synced at: 5 months ago - Pushed at: almost 2 years ago - Stars: 45 - Forks: 15

m-nanda/web-ai

This project aims to develop a web-based AI application that predicts the next product a customer is likely to buy, based on historical data. This use case could help marketing teams target customers more effectively.

Language: Jupyter Notebook - Size: 2.08 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

vaibhavmagon/Kafka-Spark-Product-Recommendation

Python script demonstrating spark streaming and Kafka implementation using an e-commerce website like product recommendation engine based on item-based collaborative filtering. 🐍. 💥

Language: Python - Size: 9.98 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 12 - Forks: 7

Mehrab-Kalantari/Amazon-Products-Recommender-System

Building both content-based and collaborative filtering recommender systems on amazon products dataset

Language: Jupyter Notebook - Size: 1.82 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Rnamrata/movie_recommendation_using_collaborative_filtering

Movie recommendation system using user-based collaborative filtering

Language: Jupyter Notebook - Size: 1.37 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

smartcat-labs/collaboratory

Laboratory for collaborative filtering

Language: R - Size: 9.77 KB - Last synced at: 27 days ago - Pushed at: about 8 years ago - Stars: 26 - Forks: 17

czarinagluna/retail-product-recommender-engine

Predicting user preferences and ratings to create item recommendations using content-based and collaborative filtering systems

Language: Jupyter Notebook - Size: 60.8 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

shashibheemanapally/movie-suggest

A movie suggestion engine that recommends movies based on a movie that a user already watched and liked.

Language: JavaScript - Size: 1.19 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

AntHaa78/Product-Recommendation

Building Recommendation Model for the videogames products of Amazon

Language: Python - Size: 34.6 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

imehrdadmahdavi/movie-recommendation-system

A movie recommendation system which uses K-Means machine modeling to explore similarities and differences in people's tastes in movies based on how they rate different movies and learn how these ratings contribute to a movie recommendation system for users

Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

thegenuinegourav/Movies-Recommender

A system to recommend movies according to ratings provided by users using Collaborative Filtering Learning Algorithm.

Language: Matlab - Size: 672 KB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 13 - Forks: 4

oscarlee711/machine-learning-collaborative-filtering-for-recommendations

This project is to use machine learning to perform collaborative filtering and generate recommendation for online grocery buyer.

Language: Jupyter Notebook - Size: 700 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

kareemindata/Book-Recommendation-System Fork of Mostafanofal453/Book-Recommendation-System

Book-Recommendation-System based on Content-Based and Collaborative Filters

Size: 3.76 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Smit1400/SmartCart_MBA

"SmartCart" is a cutting-edge e-commerce tool 🌟 that leverages predictive analytics to provide personalized shopping recommendations and optimize inventory management, tailored for businesses aiming to enhance customer engagement and sales 🚀.

Language: Jupyter Notebook - Size: 22 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

Mehrab-Kalantari/Book-Recommender-System

Building a collaborative filtering recommender systems on books dataset

Language: Jupyter Notebook - Size: 2.39 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

aungkaungpyaepaing/Book-Recommendation-System

Book recommendation system using user base collaborative filter Algorithm and testing the accuracy result by comparing with different algorithms

Language: Jupyter Notebook - Size: 331 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

zain-2002/Book_Reccomendation_System

This is an app for collaborative and hybrid filtering using multiple csv data a model is trained and a flask is used for the web representation of model

Language: HTML - Size: 20.8 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

opringle/gluonrank

Ranking made easy

Language: Python - Size: 62.5 KB - Last synced at: 11 days ago - Pushed at: over 6 years ago - Stars: 36 - Forks: 4

shahriar-rahman/A-Comparative-Analysis-of-Amazon-Book-Ratings-using-Collaborative-Filtering

Juxtaposing different Recommender Algorithms by utilizing the concept of Collaborative Filtering to analyze the Amazon Book Ratings.

Language: Jupyter Notebook - Size: 48.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 1

prakashsellathurai/fashion-Image-Recommender

Image Recommendation via similarity retrieval through deep learning

Language: Python - Size: 772 KB - Last synced at: 15 days ago - Pushed at: about 2 years ago - Stars: 3 - Forks: 0

srikresna/books-recommender-system

Repository for Dicoding submission about recommendation system

Language: Jupyter Notebook - Size: 549 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Intelligent-Systems-Group/jpl-framework

Java framework for Preference Learning

Language: Java - Size: 9.6 MB - Last synced at: 12 months ago - Pushed at: about 7 years ago - Stars: 6 - Forks: 2

junaidaliop/cf-tf

Recommendation Systems (Collaborative Filtering) Experiments on MovieLens Datasets

Language: Jupyter Notebook - Size: 6.09 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

aidanbx/lastfm-artist-recommender

Scrapes last.fm to create a user listen dataset. Implements collaborative filtering and rating systems to recommend new artists for myself

Language: Jupyter Notebook - Size: 31.5 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

yvesaur/recome

Personalized news website with News Recommender using Filtering algorithm, CNN, and NLP

Language: JavaScript - Size: 302 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

zukaite/BookRecSysComparison

Comparative Analysis of Recommender Systems on Goodreads Data: A study benchmarking SVD, SVAE, NGCF, and LightGCN models to understand their efficacy in book recommendation.

Language: Jupyter Notebook - Size: 193 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

yehias21/FedRs

Implementation of FedNCF with SecAvg

Size: 22 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

Adith-Rai/Movie-Recommender

A command line operated Movie Recommender system that recommends unwatched movies for a user using their existing MovieLens movie ratings as input. The algorithm uses two KNN algorithms for collaborative filtering and an Explainable-RBM with two visible dimensions to predict user ratings for unwatched movies.

Language: Python - Size: 201 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

sisinflab/Top-N-Recommendation-Algorithms-A-Quest-for-the-State-of-the-Art

This is the official repository of the paper Top-N Recommendation Algorithms: A Quest for the State of the Art

Language: Python - Size: 52.8 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 3

ukrbublik/You-Can-Not-Recommend

Recommender system engine on NodeJS

Language: JavaScript - Size: 3.59 MB - Last synced at: 4 days ago - Pushed at: almost 7 years ago - Stars: 20 - Forks: 2

psm1206/MAWU

[CIKM'23] "Toward a Better Understanding of Loss Functions for Collaborative Filtering"

Language: Python - Size: 139 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 0

manthan410/kg-music-recommendation

explored traditional recommendation system and improved on that by creating a KG based recommendation

Language: Jupyter Notebook - Size: 97.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

Junyu474/ARecs-backend

Anime Recommendation System flask backend

Language: Python - Size: 38.3 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

moovier/backend

Movie Recommendation System using Neural Collaborative Filtering with Explicit Feedback

Language: Python - Size: 44.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ashima96/Book-Recommendation-System

Machine Learning Project

Language: Jupyter Notebook - Size: 26.7 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 43 - Forks: 13

chen0040/mxnet-recommender

Collaborative Filtering NN and CNN based recommender implemented with MXNet

Language: Python - Size: 120 MB - Last synced at: 24 days ago - Pushed at: about 7 years ago - Stars: 12 - Forks: 1

radioactive11/amethyst

A low-code recommendation engine generation tool

Language: Python - Size: 21.9 MB - Last synced at: 3 days ago - Pushed at: over 3 years ago - Stars: 7 - Forks: 0

SebastianRokholt/Hybrid-Recommender-System

A repository for a machine learning project about developing a hybrid movie recommender system.

Language: Jupyter Notebook - Size: 13.5 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 35 - Forks: 13

alexvlis/movie-recommendation-system

Movie Recommendation System using the MovieLens dataset

Language: Python - Size: 6.68 MB - Last synced at: about 1 year ago - Pushed at: about 7 years ago - Stars: 19 - Forks: 14

D3struf/Distributed-Collaborative-Filtering-Book-Recommendation-System

It uses Dask as a Distributed Framework and Inspired by the work of https://github.com/entbappy/ML-Based-Book-Recommender-System

Language: Jupyter Notebook - Size: 370 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

fdelgados/courses_recommender

Udacity capstone project

Language: Jupyter Notebook - Size: 7.37 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

rishi-vakharia/Trip-Recommender-System

Recommeds the cities you should visit next based on your travel history.

Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

aneeshnema/binge

A movie recommendation and review website built with flask as backend and implicit library for recommendations.

Language: Python - Size: 24.5 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 1 - Forks: 0

fajieyuan/SIGIR2020_peterrec

Parameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation

Language: Python - Size: 8.38 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 194 - Forks: 36

saikrishnabudi/Recommendation-System

Data Science - Recommendation Work

Language: Jupyter Notebook - Size: 273 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

AlbMLpy/DynamicCF

Dynamic Collaborative Filtering powered by Matrix and Tensor Integrators

Language: Python - Size: 128 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

poludmik/NeuralCollaborativeFiltering.jl

A Julia implementation of three different recommender systems based on the concept of Neural Collaborative Filtering.

Language: Julia - Size: 46.3 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

geffy/retailhero-recommender-solution

3rd place solution for RetailHero.ai/#2

Language: Python - Size: 77.8 MB - Last synced at: 18 days ago - Pushed at: about 5 years ago - Stars: 16 - Forks: 1

Jess607/Tourism-Spot-Recommendation-System

This is a hybrid recommender system that combines the paradigms of content based filtering(using gradient boosting regressor) and collaborative filtering to recommend destination spots for users/tourists based on their demography and spots liked by tourists with similar demography and likes.

Language: Jupyter Notebook - Size: 4.39 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

JuliaRecsys/ModelBasedCF.jl

Model based algorithms for Collaborative Filtering in Julia

Language: Julia - Size: 23.4 KB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1

JuliaRecsys/Persa.jl

Recommender System framework for Julia

Language: Julia - Size: 646 KB - Last synced at: 14 days ago - Pushed at: almost 2 years ago - Stars: 18 - Forks: 3

LARS-research/AutoML-Tutorial

Tutorials about AutoML

Size: 66.7 MB - Last synced at: 12 months ago - Pushed at: about 3 years ago - Stars: 84 - Forks: 15

rezamosavi8740/Recommendation-System

This repository serves as a comprehensive exploration and exercise in the field of data science, conducted as part of the Data Science course at Shahid Beheshti University. The primary goal of the work is to delve into the realms of recommender systems, specifically focusing on collaborative filtering and content-based methods.

Language: Jupyter Notebook - Size: 472 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Salmaishak/RecommendationModel

Python scripts that implement collaborative filtering using Matrix Factorization with Alternating Least Squares (MF-ALS) for hotels and restaurants, Restricted Boltzmann Machines (RBM) for attractions, and content-based filtering using cosine similarity for the "More Like This" feature.

Language: Python - Size: 9.32 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 2