197 Open source projects that are alternatives of or similar to Awesome Causality Algorithms

Building recommenders with Elastic Graph!

SoulSeek client with web interface and recommender system

Some algorithms about traditional and social recommendation.

Spark SQL 实现 ItemCF，UserCF，Swing，推荐系统，推荐算法，协同过滤

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.

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

A Configurable Recommender Systems Simulation Platform

Rank and serve recommendations

RecQ: A Python Framework for Recommender Systems (TensorFlow Based)

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

Some deep learning based recsys for open learning.

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

图像识别与推荐系统两类

GRu4Rec in TensorFlow

TensorFlow Implementation of Attentional Factorization Machine

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

fastFM: A Library for Factorization Machines

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.

A Python implementation of LightFM, a hybrid recommendation algorithm.

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

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

A simple Music Recommendation System

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

A framework for large scale recommendation algorithms.

A Deep Learning Recommender System

Bayesian Personalized Ranking using PyTorch

A wine recommender system tutorial using Python technologies such as Django, Pandas, or Scikit-learn, and others such as Bootstrap.

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

Factorization Machines for Recommendation and Ranking Problems with Implicit Feedback Data

kNN-based next-basket recommendation

项亮的《推荐系统实践》的代码实现

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

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

Joint Geographical and Temporal Modeling based on Matrix Factorization for Point-of-Interest Recommendation - ECIR 2020

Papers on Computational Advertising

A system that will help in a personalized recommendation of courses for an upcoming semester based on the performance of previous semesters.

A Clojure library for querying large data-sets on similarity

Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems (RecSys'18), Vancouver, Canada, Oct. 2018.

Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

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

Fast item-to-item recommendations on the command line.

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

PyTorch(1.6+) implementation of https://github.com/kang205/SASRec

A TensorFlow recommendation algorithm and framework in Python.

🏷️ An e-commerce marketplace template. An online auction and shopping website for buying and selling a wide variety of goods and services worldwide.

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

This is our implementation of SAMN: Social Attentional Memory Network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

An index of recommendation algorithms that are based on Graph Neural Networks.

UC Berkeley team's submission for RecSys Challenge 2018

Tool for autodownloading recommendation systems datasets

Large scale training of factorization models for Collaborative Filtering with PyTorch

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

Recommender System Using Parallel Matrix Factorization

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

A TensorFlow implementation of the collaborative RNN (Ko et al, 2016).

Attention,Factorization Machine, Deep Learning, Recommender System

推荐系统

NReco Recommender is a .NET port of Apache Mahout CF java engine (standalone, non-Hadoop version)