GitHub topics: collaborative-filtering
RECeSS-EU-Project/stanscofi
Package for STANdard drug Screening by COllaborative FIltering. Performs benchmarks against datasets and SotA algorithms, and implements training, validation and testing procedures.
Language: Python - Size: 19.2 MB - Last synced at: 1 day ago - Pushed at: 2 months ago - Stars: 1 - Forks: 1
sarmadahmad8/Book-Recommender-System-using-classical-ML-techniques
Book Recommender System - 5 approaches
Language: Jupyter Notebook - Size: 99.6 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0
RECeSS-EU-Project/JELI
Joint Embedding-classifier Learning for improved Interpretability (JELI)
Language: Python - Size: 44.9 KB - Last synced at: 10 days ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0
RECeSS-EU-Project/benchmark-code
Code associated with "Comprehensive evaluation of collaborative filtering in drug repurposing"
Language: Python - Size: 138 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0
geon0325/LightGCNpp
Source code for the RecSys 2024 paper "Revisiting LightGCN: Unexpected Inflexibility, Inconsistency, and A Remedy Towards Improved Recommendation."
Language: Python - Size: 71.2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 10 - Forks: 4
sisinflab/Edge-Graph-Collaborative-Filtering
Accepted as full paper at DL4SR@CIKM2022
Language: Python - Size: 2.88 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 1
MaklonFR/Movie-Recomendation-System
Submision Dicoding Indonesia - Machine Learning Terapan (Movie Recomendation)
Language: Jupyter Notebook - Size: 681 KB - Last synced at: 21 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0
songwo-153/Fresh-flower-shop-recommendation-system-based-on-collaborative-filtering-algorithm
基于协同过滤算法的鲜花店推荐系统的设计与实现（使用Springboot框架+Mysql数据库+Vue框架+协同过滤算法）,系统分为用户端和管理员端.
Size: 14.6 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0
sarthakforwet/Foodie_Partners
An application which helps people find their foodie partner!
Language: HTML - Size: 14.7 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0
etlundquist/rankfm
Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data
Language: Python - Size: 2.15 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 173 - Forks: 37
chihming/competitive-recsys
A collection of resources for Recommender Systems (RecSys)
Size: 77.1 KB - Last synced at: 13 days ago - Pushed at: over 3 years ago - Stars: 534 - Forks: 115
yash1th-yerra/Hybrid-Model-Movie-Recommendation-System
This is an extension project to Movie-Recommendation-System https://github.com/yash1th-yerra/Movie-Recommendation-System.
Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
natanaelalmeida/matrix-factorization
Understand how Matrix Factorization and SGD are used in personalized recommendation systems.
Language: Jupyter Notebook - Size: 28.3 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
recombee/recsys24-live-paper-recommender
Scientific Paper Recommendations And Search, Powered by Recombee
Language: TypeScript - Size: 306 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0
tohtsky/myFM
A Python/C++ implementation of Bayesian Factorization Machines
Language: C++ - Size: 1.42 MB - Last synced at: 6 days ago - Pushed at: 8 months ago - Stars: 55 - Forks: 14
Niteshchawla/Movie-Recommender-System
To create a Recommender System to show personalized movie recommendations based on ratings given by a user and other users similar to them in order to improve user experience.
Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: 15 days ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
materight/therapy-recommender-system
An hybrid recommender systems for suggesting medical therapies, based on matrix factorization and collaborative filtering.
Language: Python - Size: 13 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0
goamegah/Cornac-Recommender-System-Animes
Recommendation system
Language: Jupyter Notebook - Size: 4.09 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
04bhavyaa/book-recommendation-system
The Book Recommendation System provides personalized book suggestions using Popularity-Based Recommender, Collaborative Filtering, and Cosine Similarity. Implemented with Flask, it allows users to enter a book title and receive tailored recommendations based on their preferences.
Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0
tigoCaval/recommendation-algorithm
Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.
Language: PHP - Size: 37.1 KB - Last synced at: 10 days ago - Pushed at: almost 3 years ago - Stars: 82 - Forks: 14
evfro/polara
Recommender system and evaluation framework for top-n recommendations tasks that respects polarity of feedbacks. Fast, flexible and easy to use. Written in python, boosted by scientific python stack.
Language: Python - Size: 2 MB - Last synced at: 20 days ago - Pushed at: 22 days ago - Stars: 251 - Forks: 22
david-cortes/cmfrec
(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)
Language: C - Size: 2.81 MB - Last synced at: 15 days ago - Pushed at: 4 months ago - Stars: 120 - Forks: 33
vsancnaj/Hybrid-Recommendation-System
A hybrid recommendation system combining Item-Based Collaborative Filtering and Content-Based Filtering to suggest skincare products based on user preferences, product ingredients, and ratings. Features a Flask API and an interactive Streamlit Web App for personalized recommendations.
Language: Jupyter Notebook - Size: 20.5 KB - Last synced at: 27 days ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
pngo1997/Joke-Recommender-System-Image-Segmentation-Clustering
Create an Item based collaborative filtering Recommender System and Image Segmentation Clustering.
Language: Jupyter Notebook - Size: 396 KB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
razamehar/Movie_Recommendation_System
This project employs multiple recommendation techniques, including popularity-based ranking with Bayesian averages, content-based suggestions using cosine similarity, and collaborative filtering via the Surprise library.
Language: Python - Size: 14.2 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
reczoo/BARS
BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS
Language: Python - Size: 4.24 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 366 - Forks: 57
easonlai/online_retail_product_recommendation_samples
This is a code sample repository for online retail product recommendations using Collaborative Filtering (Memory-Based, aka History-Based). The source data used the famous Online Retail Data Set from UCI Machine Learning Repository.
Language: Jupyter Notebook - Size: 26.4 MB - Last synced at: 19 days ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 2
RECeSS-EU-Project/RECeSS-EU-Project.github.io
The RECeSS (Robust Explainable Controllable Standard for drug Screening) project is funded by a Marie Skłodowska-Curie Postdoctoral Fellowship 2022.
Language: HTML - Size: 18.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
tlatkowski/neural-recommender
Neural recommender system implementation in TensorFlow.
Language: Python - Size: 26.4 KB - Last synced at: 4 days ago - Pushed at: about 2 years ago - Stars: 15 - Forks: 8
cheungdaven/deeplearning4recommendersystem
deep learning for recommender system
Size: 13.7 KB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 45 - Forks: 20
WindQAQ/tf-recsys
tf-recsys contains collaborative filtering (CF) model based on famous SVD and SVD++ algorithm. Both of them are implemented by tensorflow in order to utilize GPU acceleration.
Language: Python - Size: 24.4 KB - Last synced at: 16 days ago - Pushed at: over 5 years ago - Stars: 94 - Forks: 27
kevalmorabia97/Collaborative-Filtering
A Python implementation of user based and item based collaborative filtering for matrix completion
Language: Python - Size: 688 KB - Last synced at: 18 days ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 2
dandxy89/BellkorAlgorithm 📦
A Python implementation of the Bellkor Algorithm
Language: Jupyter Notebook - Size: 263 KB - Last synced at: 4 days ago - Pushed at: 3 months ago - Stars: 45 - Forks: 18
reczoo/RecBox
A box of core libraries for recommendation model development
Language: Python - Size: 4.32 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 91 - Forks: 19
loserChen/Awesome-Recommender-System
The collection of papers about recommender system
Size: 83 KB - Last synced at: 1 day ago - Pushed at: about 1 year ago - Stars: 87 - Forks: 19
al-chris/Movie-Recommendation-System
Demonstration on different types of recommender systems
Language: Jupyter Notebook - Size: 17.5 MB - Last synced at: 29 days ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
giobbu/collaborative-data-imputation
Data imputation with collaborative filtering and latent factor models for wind farms time series data
Language: Python - Size: 2.36 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
bimarakajati/Anime-Recommender-System
This project analyzes anime recommendation data using two approaches: Content-Based Filtering with K-Nearest Neighbors (KNN) and Collaborative Filtering with the RecommenderNet model. Data is taken from the Anime Recommendations Database, and various techniques such as TF-IDF and Early Stopping are used to improve model accuracy.
Language: Jupyter Notebook - Size: 4.23 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
CSFelix/recommendation-system-mba-usp-esalq
✨ Recommendation Systems Using Diverse Techniques ✨
Language: Jupyter Notebook - Size: 8.36 MB - Last synced at: 8 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
henry-azer/book-recommendation-system
The book recommendation system is a web application developed using the Java Spring Boot framework and under it's the principles of software clean architecture. The system recommendations based on user-based collaborative filtering
Language: Java - Size: 236 KB - Last synced at: 18 days ago - Pushed at: about 2 years ago - Stars: 17 - Forks: 2
CSFelix/recommendation-system
✨ Recommendation Systems Using Diverse Techniques ✨
Language: Jupyter Notebook - Size: 27.4 MB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
phpjuice/opencf
PHP implementation of the (Weighted Slopeone,Cosine, Weighted Cosine) rating-based collaborative filtering schemes.
Language: PHP - Size: 68.4 KB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 96 - Forks: 7
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.
Language: Jupyter Notebook - Size: 776 KB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
canburaks/pixly-app
It is a Django/Graphene based movie recommendation engine that compares a person's rating of a movie with that of 40.000 others within a minute and calculates a score based on the comparison.
Language: JavaScript - Size: 327 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
MattE34/Amazon-Recommendation-System
Item-to-item based recommendation system project using Amazon product data, combining matrix factorization (SVD) and collaborative filtering to predict user ratings and generate top recommendations. To evaluate and optimize the model's accuracy, the following performance metrics were explored: MAE, RMSE, precision, recall, F-measure, and NDCG.
Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
ashwinhprasad/Anime-Recommender-System
Anime Recommender System with various recommender system algorithms implemented in python
Language: Jupyter Notebook - Size: 475 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
mberrien-fitzsimons/recipe_recommendation_system
A project using machine learning to recommend new menu items based on foods the user already loves.
Language: Jupyter Notebook - Size: 74.3 MB - Last synced at: 4 months ago - Pushed at: over 2 years ago - Stars: 15 - Forks: 6
priyansh-iitd26/Collaborative_Filtering_Book_Recommendation_System
A Collaborative Filtering-based book recommender system built using the book recommendation dataset on Kaggle. The trained model is deployed as a Flask web app. The web app features two main pages: a home page that displays the top 50 trending books and a recommendation page where users can input a book name to get 4 similar book recommendations.
Language: Jupyter Notebook - Size: 16.5 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
alejandro-yakovlev/cf-php
This library is a PHP implementation of the collaborative filtering (CF).
Language: PHP - Size: 34.2 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
Luvynn/NextFlick
A movie recommendation system utilizing Regularized Matrix Factorization without ML libraries on the MovieLens dataset. Provides personalized movie recommendations by discovering latent user-item interactions.
Language: Python - Size: 899 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
Salman-Khan-Mohammed/Movie-Recommendation-System
The "Movie Recommendation System" project involves developing and comparing two models: a Hybrid Recommender that combines user data, movie details, genres, and sentiment analysis, and a Matrix Factorization Model that predicts user preferences based on user-item interactions. The aim is to determine which model offers more accurate movie recommend
Language: Jupyter Notebook - Size: 72.6 MB - Last synced at: 20 days ago - Pushed at: 8 months ago - Stars: 1 - Forks: 1
HKUDS/RecLM
"RecLM: Recommendation Instruction Tuning"
Language: Python - Size: 212 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 19 - Forks: 1
Ujjwal-Jaiswal-UJ/Personalized-Book-Recommendations-with-Cosine-Similarity
The Book Recommendation System is designed to assist users in discovering books that align with their personal interests and reading habits. This system aims to address the challenge of information overload. The combination of a robust recommendation engine and an intuitive user interface ensures that users have a seamless experience.
Language: HTML - Size: 15.7 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
myahninsi/customer-segmentation-recommendation-ml
This project addressed challenges in understanding customer behavior and personalizing shopping experiences for an e-commerce platform. Developed ML solutions including K-Means clustering for segmentation, Random Forest regression for CLV prediction, and collaborative filtering for product recommendations.
Language: Jupyter Notebook - Size: 813 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
owj0421/recsys_basics
Implementation of Basic Recommendation System Models with PyTorch
Language: Python - Size: 78.1 KB - Last synced at: 24 days ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 0
pprattis/Recommendation-System-for-Android-Java-App-that-finds-an-ideal-destination-with-the-kNN-Algorithm
This project is an Android mobile application, written in Java programming language and implements a Recommender System using the k-Nearest Neighbors Algorithm. In this way the algorithm predicts the possible ratings of the users according to scores that have already been submitted to the system.
Language: Java - Size: 122 KB - Last synced at: 11 days ago - Pushed at: over 4 years ago - Stars: 8 - Forks: 3
takuti/Recommendation.jl
Building recommender systems in Julia
Language: TeX - Size: 3.12 MB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 49 - Forks: 10
RUCAIBox/RecBole-GNN
Efficient and extensible GNNs enhanced recommender library based on RecBole.
Language: Python - Size: 1020 KB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 173 - Forks: 40
abhinavsaurabh/Restaurant-Recommendation
This project develops a Restaurant Recommendation System utilizing collaborative filtering algorithms, including Alternating Least Squares (ALS), Singular Value Decomposition (SVD), and Stochastic Gradient Descent (SGD).
Language: Jupyter Notebook - Size: 955 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0
locngoduc/foodie-recommendation-system
🍽️ A Flask-based backend for personalized dish and restaurant recommendations using collaborative filtering. Built with Python, PostgreSQL, and Docker. 🚀
Language: Python - Size: 11.7 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
AmazingDD/daisyRec
Official code for "DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation" (TPAMI2022) and "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" (RecSys2020)
Language: Python - Size: 12.8 MB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 551 - Forks: 84
RandomKiddo/BookRecommendationAI
AI recommendation system on Goodreads dataset including BERT sentiment analysis and collaborative filtering.
Language: HTML - Size: 0 Bytes - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
santteegt/ucl-drl-msc
Learning to Recommend using a Deep Reinforcement Agent
Language: Jupyter Notebook - Size: 6.95 MB - Last synced at: 22 days ago - Pushed at: about 8 years ago - Stars: 23 - Forks: 7
Chinmayrane16/Recommender-Systems-with-Collaborative-Filtering-and-Deep-Learning-Techniques
Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques
Language: Jupyter Notebook - Size: 1.52 MB - Last synced at: 21 days ago - Pushed at: almost 5 years ago - Stars: 62 - Forks: 20
iamdebasishdas123/Hybrid_Recommendation_System
This project implements a Recommendation System using data ingestion, preprocessing, and recommendation generation workflows.
Language: Jupyter Notebook - Size: 31.3 KB - Last synced at: about 2 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
tmoesl/product-recommendation-system
This project develops a recommendation system to suggest products to Amazon customers based on past ratings, leveraging product review data to enhance relevance and accuracy, measured by RMSE, Precision@K, Recall@K, MRR, MAP and other key metrics.
Language: HTML - Size: 117 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
datkanber/hybrid-recommender
A hybrid recommendation system combining user-based and item-based collaborative filtering to generate personalized movie recommendations using the MovieLens dataset.
Language: Jupyter Notebook - Size: 5.86 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
MNitin-Reddy/Collaborative-Filtering-based-Recommendation-System
This project is a Book Recommendation System that uses two main approaches: Popularity-Based and Collaborative Filtering. It recommends top books based on their rating frequency and average ratings, and also provides personalized book suggestions by analyzing user interactions.
Language: Jupyter Notebook - Size: 40.8 MB - Last synced at: 21 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
ChoukriLach/Movie-Recommendation-Systems
Build movie recommender systems with a collaborative filtering approach and a content-based deep learning method
Language: Jupyter Notebook - Size: 3.07 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
yuvraj-solanki-2406/movie-recommandation
Movie Recommendation System with Flask based web application with social connection setup
Language: HTML - Size: 14.2 MB - Last synced at: 17 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
ashkan-khd/recommender-systems
A series of recommender systems projects for DATA.ML.360-2024-2025-1 Recommender Systems at Tampere University
Language: Jupyter Notebook - Size: 3.19 MB - Last synced at: 26 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
TrueCodee/Book-Recommendation-System
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
Language: Jupyter Notebook - Size: 12.2 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
SathvikNayak123/RecSys-with-pysaprk
Built Content and Collaborative filtering based Recommendation system. Utilized PySpark to handle datasets with 3 Million+ entires.
Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
AxelSeanCP/Anime-Recommender-System
A Project from Dicoding's Machine Learning Expert Class. Recommender System for Anime using Content-Based Filtering and Collaborative Filtering
Language: Jupyter Notebook - Size: 776 KB - Last synced at: 20 days ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0
gerinsp/Movie-Recommendation-System
Developed a Movie Recommendation System using content-based filtering and collaborative filtering to suggest personalized movie recommendations.
Language: Jupyter Notebook - Size: 299 KB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
HKUDS/RLMRec
[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"
Language: Python - Size: 451 MB - Last synced at: 5 months ago - Pushed at: 10 months ago - Stars: 346 - Forks: 44
makgyver/rectorch
rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
Language: Python - Size: 3.25 MB - Last synced at: 9 days ago - Pushed at: about 4 years ago - Stars: 151 - Forks: 19
chinmayjainnnn/collaborative-filtering
Collaborative Filtering using SVD, CUR, and PQ Matrix Decomposition
Language: Python - Size: 41 KB - Last synced at: 26 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
alexchans/Recommendation_System_The_Social_Panacea
SMU Senior Design Project for Fall 2024: Developed a recommendation system model leveraging collaborative filtering and implemented a FastAPI-based server to host the model.
Language: Python - Size: 13.7 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 1
jnopareboateng/Lhydra_rs
Journey detailing Lhydra Hybrid Music Recommender System
Language: Jupyter Notebook - Size: 379 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
ziadmostafa1/Movie-Recommendation-System
Movie Recommendation System using collaborative and content-based filtering techniques. Implemented with Jupyter Notebooks and Python, this project combines multiple recommendation approaches for enhanced movie suggestions.
Language: Jupyter Notebook - Size: 138 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
joyel124/TF_PCD
Implementación de una red distribuida para un sistema de recomendaciones usando filtro colaborativo.
Language: TypeScript - Size: 582 KB - Last synced at: 26 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
dawenl/vae_cf
Variational autoencoders for collaborative filtering
Language: Jupyter Notebook - Size: 49.8 KB - Last synced at: 5 months ago - Pushed at: about 7 years ago - Stars: 530 - Forks: 157
OrF8/C_Ex_5
A repository for Ex 5 in course 67315 (Programming Workshop in C & C++) @ The Hebrew Universty of Jerusalem
Language: C++ - Size: 317 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
MaurizioFD/RecSys2019_DeepLearning_Evaluation
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
Language: Python - Size: 216 MB - Last synced at: 5 months ago - Pushed at: almost 2 years ago - Stars: 983 - Forks: 248
hadoov/GHRS
GHRS: Graph-based hybrid recommendation system with application to movie recommendation
Language: Python - Size: 9.65 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 34 - Forks: 13
irecsys/DeepCARSKit
A Deep Learning Based Context-Aware Recommendation Library
Language: Python - Size: 6.03 MB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 20 - Forks: 4
peelajanu/Case-Study--ML--Personalized-Stock-Investment-Advisor
The Personalized Stock Investment Advisor leverages machine learning to recommend stocks based on user preferences and market data, helping users make informed buy, hold, or sell decisions for optimized portfolios.
Size: 25.2 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
karan3691/social-media-recommender
provides personalized content recommendations for users based on their interactions, preferences, and browsing history.
Language: Python - Size: 7.81 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
sisinflab/elliot
Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation
Language: Python - Size: 78.4 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 275 - Forks: 49
HKUDS/DiffKG
[WSDM'2024 Oral] "DiffKG: Knowledge Graph Diffusion Model for Recommendation"
Language: Python - Size: 20.7 MB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 87 - Forks: 9
FlorianWilhelm/lda4rec
🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.
Language: Jupyter Notebook - Size: 3.12 MB - Last synced at: 9 days ago - Pushed at: almost 3 years ago - Stars: 41 - Forks: 6
newlei/LR-GCCF
Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020
Language: Python - Size: 43.4 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 110 - Forks: 26
HKUDS/HGCL
[WSDM'2023] "HGCL: Heterogeneous Graph Contrastive Learning for Recommendation"
Language: Python - Size: 33.7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 92 - Forks: 11
daniel-lima-lopez/Collaborative-Filtering-in-Recomender-System
A kNN-based collaborative filtering applied to a movie recommender system
Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 23 days ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
towardsai/tutorials
AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
Language: Jupyter Notebook - Size: 5.77 MB - Last synced at: 5 months ago - Pushed at: 12 months ago - Stars: 989 - Forks: 360
psaris/funq
Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"
Language: q - Size: 695 KB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 136 - Forks: 51
soran-ghaderi/EfficientCoF
A new efficient subspace and K-Means clustering based method to improve Collaborative Filtering
Language: Python - Size: 968 KB - Last synced at: 16 days ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 5
ashish493/MovieScout
Real Time movie recommendation system with prometheus monitoring
Language: Python - Size: 135 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
FoggySmile/RecSys
RecSys
Language: Jupyter Notebook - Size: 199 KB - Last synced at: 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
