265 Open source projects that are alternatives of or similar to Recsys

This is our implementation of EHCF: Efficient Heterogeneous Collaborative Filtering (AAAI 2020)

Deep Learning Computer Vision Algorithms for Real-World Use

🍊 👎 Add-on for Orange3 to support recommender systems.

Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

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.

Rank and serve recommendations

Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.

An open source recommender system service written in Go

This is a repository of public data sources for Recommender Systems (RS).

fastFM: A Library for Factorization Machines

人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题

Music recommender using deep learning with Keras and TensorFlow

Multi-order Attentive Ranking Model for Sequential Recommendation

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction

This is our implementation of JNSKR: Jointly Non-Sampling Learning for Knowledge Graph Enhanced Recommendation (SIGIR 2020)

This is our solution for KDD Cup 2020. We implemented a very neat and simple neural ranking model based on siamese BERT which ranked first among the solo teams and ranked 12th among all teams on the final leaderboard.

UC Berkeley team's submission for RecSys Challenge 2018

The implementation of "Point-of-Interest Recommendation: Exploiting Self-Attentive Autoencoders with Neighbor-Aware Influence"

Reinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020

Implementation of Bayesian Personalized Ranking (BPR) for Multiple Feedback Channels

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques

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.

a recommender engine node-js package for general use and easy to integrate.

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

Бэйслайн к задаче RetailHero.ai/#2 от @geffy 💪

基于tensorflow的个性化电影推荐系统实战(有前端)

Multiplicative LSTM for Recommendations

Recurrence the recommender paper with Tensorflow2.0

Flexible and extendable recommender system based on an abstract User-Product-Tag schema

An index of algorithms for learning causality with data

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Some algorithms about traditional and social recommendation.

code for Gogleva et al manuscript

Future Data Helps Training: Modeling Future Contexts for Session-based Recommendation

A django website used in the book Practical Recommender Systems to illustrate how recommender algorithms can be implemented.

Efficient training of deep recommenders on cloud.

rnn based model for recommendations

Learning Intents behind Interactions with Knowledge Graph for Recommendation, WWW2021

推荐系统

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

A Clojure library for querying large data-sets on similarity

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀

Neural Graph Collaborative Filtering, SIGIR2019

GRu4Rec in TensorFlow

A Toolkit for Neural Review-based Recommendation models with Pytorch.

knowledge graph recommendation

TOROS Buffalo: A fast and scalable production-ready open source project for recommender systems

Yelper recommendation system

Towards open benchmarking for recommender systems https://openbenchmark.github.io/BARS

Large scale training of factorization models for Collaborative Filtering with PyTorch

A Configurable Recommender Systems Simulation Platform

content discovery... IN 3D

In this code we implement and compared Collaborative Filtering algorithm, prediction algorithms such as neighborhood methods, matrix factorization-based ( SVD, PMF, SVD++, NMF), and many others.

TenforFlow Implementation of Neural Factorization Machine

Friends Recommendation and Link Prediction in Social Netowork

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

Recommender System Using Parallel Matrix Factorization