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305 search results found

Gorse ⭐ 8,010

Gorse open source recommender system engine

Rspapers ⭐ 5,701

A Curated List of Must-read Papers on Recommender System.

Implicit ⭐ 3,322

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Librec ⭐ 3,113

LibRec: A Leading Java Library for Recommender Systems, see

Recbole ⭐ 3,038

A unified, comprehensive and efficient recommendation library

Deep Learning For Recommendation Systems ⭐ 2,141

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

Deepmatch ⭐ 1,906

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

Neural_collaborative_filtering ⭐ 1,515

Neural Collaborative Filtering

Deeprecommender ⭐ 1,457

Deep learning for recommender systems

Deeprec ⭐ 1,068

An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

Recsys2019_deeplearning_evaluation ⭐ 871

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.

Next RecSys Library

Tutorials ⭐ 847

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

A Comparative Framework for Multimodal Recommender Systems

Awesome Recsys Papers ⭐ 614

The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!

Daisyrec ⭐ 496

This is the repository of our article published in RecSys 2020 "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison" and of several follow-up studies.

Competitive Recsys ⭐ 475

A collection of resources for Recommender Systems (RecSys)

Newsrecommendsystem ⭐ 467

个性化新闻推荐系统，A news recommendation system involving collaborative filtering,content-based recommendation and hot news recommendation, can be adapted easily to be put into use in other circumstances.

Jstarcraft Rns ⭐ 368

专注于解决推荐领域与搜索领域的两个核心问题:排序预测(Ranking)和评分预测(Rating). 为相关领域的研发人员提供完整的通用设计与参考实现. 涵盖了70多种排序预测与评分预测算法,是最快最全的Java推荐与搜索引擎.

Awesome Recsys ⭐ 351

A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)

Neural_graph_collaborative_filtering ⭐ 339

Neural Graph Collaborative Filtering, SIGIR2019

Paperlist For Recommender Systems ⭐ 334

Recommender Systems Paperlist that I am interested in

Sifarish ⭐ 328

Content based and collaborative filtering based recommendation and personalization engine implementation on Hadoop and Storm

BARS: Towards Open Benchmarking for Recommender Systems https://openbenchmark.github.io/BARS

Neural Collaborative Filtering ⭐ 312

pytorch version of neural collaborative filtering

Variational autoencoders for collaborative filtering

Librecommender ⭐ 288

Versatile End-to-End Recommender System

Metarec ⭐ 282

PyTorch Implementations For A Series Of Deep Learning-Based Recommendation Models

Pytorch Fm ⭐ 268

Factorization Machine models in PyTorch

Recdb Postgresql ⭐ 262

RecDB is a recommendation engine built entirely inside PostgreSQL

Recommender System ⭐ 254

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

Recommender ⭐ 249

A C library for product recommendations/suggestions using collaborative filtering (CF)

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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.

Movietaster Open ⭐ 241

A practical movie recommend project based on Item2vec.

Recommendation Systems Paperlist ⭐ 237

Papers about recommendation systems that I am interested in

Summary Of Recommender System Papers ⭐ 230

阅读过的推荐系统论文的归类总结，持续更新中…

Recommenderlab ⭐ 207

recommenderlab - Lab for Developing and Testing Recommender Algorithms - R package

Dl Course ⭐ 201

Deep Learning with Catalyst

Likely.js ⭐ 198

A javascript library for collaborative filtering and recommendation engines designed for node.js

Sigir2020_peterrec ⭐ 194

Universal User Representation Pre-training for Cross-domain Recommendation and User Profiling

Recommendationsystem ⭐ 190

Book recommender system using collaborative filtering based on Spark

Letterboxd_recommendations ⭐ 190

Scraping publicly-accessible Letterboxd data and creating a movie recommendation model with it that can generate recommendations when provided with a Letterboxd username

Collaborativememorynetwork ⭐ 174

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

Rsparse ⭐ 167

Fast and accurate machine learning on sparse matrices - matrix factorizations, regression, classification, top-N recommendations.

Recstudio ⭐ 153

A highly-modularized and recommendation-efficient recommendation library based on PyTorch.

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

Recotour ⭐ 147

A tour through recommendation algorithms in python [IN PROGRESS]

Rec_pangu ⭐ 138

rec_pangu is a flexible open-source project for recommendation systems. It incorporates diverse AI models like ranking algorithms, sequence recall, multi-interest models, and graph-based techniques. Designed for both beginners and advanced users, it enables rapid construction of efficient, custom recommendation engines.

Recbole Gnn ⭐ 128

Efficient and extensible GNNs enhanced recommender library based on RecBole.

Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

Recommender_system_with_python ⭐ 124

recommender system tutorial with Python

Neural models for Collaborative Filtering

Collaborative Filtering ⭐ 114

Implemented Item, User and Hybrid based Collaborative Filtering

R interface to fast.ai

Deep Autoencoders For Collaborative Filtering ⭐ 111

Using Deep Autoencoders for predictions of movie ratings.

A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.

Convncf ⭐ 107

Experimental codes for paper "Outer Product-based Neural Collaborative Filtering".

(Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputation, dimensionality reduction)

Rectorch ⭐ 104

rectorch is a pytorch-based framework for state-of-the-art top-N recommendation

Lr Gccf ⭐ 103

Revisiting Graph based Collaborative Filtering: A Linear Residual Graph Convolutional Network Approach, AAAI2020

"RLMRec: Representation Learning with Large Language Models for Recommendation"

Movielens Recommender ⭐ 97

A pure Python implement of Collaborative Filtering based on MovieLens' dataset.

Social Recommendation ⭐ 97

Summary of social recommendation papers and codes

TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation

A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17

PHP implementation of the (Weighted Slopeone,Cosine, Weighted Cosine) rating-based collaborative filtering schemes.

Movies_recommend ⭐ 87

movie recommender system in use Collaborative Filtering / 基于协同过滤的电影推荐系统

Movie Recommender System ⭐ 86

Basic Movie Recommendation Web Application using user-item collaborative filtering.

Slopeone ⭐ 84

PHP implementation of the Weighted Slope One rating-based collaborative filtering scheme.

Automl Tutorial ⭐ 83

Tutorials about AutoML

Tf Recsys ⭐ 76

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.

Keras Movielens Cf ⭐ 75

A set of Jupyter notebooks demonstrating collaborative filtering using matrix factorization with Keras.

Graphmat ⭐ 74

GraphMat graph analytics framework

Second Springboard Capstone Project: A Movie Recommender

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

Awesome Recommender System ⭐ 69

The collection of papers about recommender system

Lightgcl ⭐ 66

[ICLR'2023] "LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation"

Research On Collaborative Filtering Algorithms ⭐ 65

Research on Collaborative Filtering Algorithms

Recommend ⭐ 63

Python 3.6 下的推荐算法解析，尽量使用简单的语言剖析原理，相似度度量、协同过滤、矩阵分解等

Collaborative Deep Learning For Recommender Systems ⭐ 58

The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.

Directau ⭐ 57

KDD'2022: Towards Representation Alignment and Uniformity in Collaborative Filtering

Cofirank ⭐ 56

A Python/C++ implementation of Bayesian Factorization Machines

a simple yet versatile recommendation systems library in python

Matrix Completion ⭐ 54

Lightweight Python library for in-memory matrix completion.

Consimilo ⭐ 53

A Clojure library for querying large data-sets on similarity

Spotify Song Recommendation Ml ⭐ 52

UC Berkeley team's submission for RecSys Challenge 2018

BPR, Bayesian Personalized Ranking (BPR), extremely convenient BPR & Multiple Pairwise Ranking

Movie Recommender Demo ⭐ 50

This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM Message Hub (kafka) to push application events to topic where they are consumed by a spark streaming job running on IBM BigInsights (hadoop).

Large scale training of factorization models for Collaborative Filtering with PyTorch

Recsys_pytorch ⭐ 48

PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.

Blurring-Sharpening Process Models for Collaborative Filtering, SIGIR'23

Kdd_cup_2020_debiasing_rush ⭐ 44

Solution to the Debiasing Track of KDD CUP 2020

Collabstream ⭐ 44

Parallelized Online Matrix Factorization for Collaborative Filtering using Stochastic Gradient Descent

Als_implementation ⭐ 43

Implementation of ALS algorithm from "Collaborative Filtering for Implicit Feedback Data"

Recommendation.jl ⭐ 43

Building recommender systems in Julia

Recommendation Algorithm ⭐ 42

Collaborative filtering recommendation system. Recommendation algorithm using collaborative filtering. Topics: Ranking algorithm, euclidean distance algorithm, slope one algorithm, filtragem colaborativa.

TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)

Related Searches

Collaboration Collaborative Filtering (410)

Recommendation System Collaborative Filtering (357)

Python Collaborative Filtering (325)

Recommendation Collaborative Filtering (262)

Jupyter Notebook Collaborative Filtering (221)

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