201 Open source projects that are alternatives of or similar to Neural-Factorization-Machine

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

跨平台/多语言的 相似向量/相似词/相似句 高性能检索引擎。功能强大，使用方便。欢迎star & fork。Build together! Power another !

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

📝 SZU Undergraduate Thesis -- Recommender System

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

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

A recommender system for discovering GitHub repos, built with Apache Spark

PyTorch Implementation for Neural Graph Collaborative Filtering

Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

1st Solution for 2019-CIKM-Analyticup, Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation

Towards A Standardized Tag Recommender Benchmarking Framework

毕业设计：基于图神经网络的异构图表示学习和推荐算法研究

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

It is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Deep recommender models using PyTorch.

RiVal recommender system evaluation toolkit

This is our implementation of NARRE:Neural Attentional Regression with Review-level Explanations

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

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.

ElasticCTR，即飞桨弹性计算推荐系统，是基于Kubernetes的企业级推荐系统开源解决方案。该方案融合了百度业务场景下持续打磨的高精度CTR模型、飞桨开源框架的大规模分布式训练能力、工业级稀疏参数弹性调度服务，帮助用户在Kubernetes环境中一键完成推荐系统部署，具备高性能、工业级部署、端到端体验的特点，并且作为开源套件，满足二次深度开发的需求。

Set of notebooks analysing and discussing the ideas presented at Coursera's Recommender Systems course

6th Solution for 2020-KDDCUP Debiasing Challenge

TensorFlow implemenation of GRu4Rec model

This is the official repository for the Recommender Systems course at Politecnico di Milano.

Machine Learning Platform and Recommendation Engine built on Kubernetes

Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

Paper list of NLP for recommender systems

This repository contains some datasets that I have collected in Recommender Systems.

entity2rec generates item recommendation using property-specific knowledge graph embeddings

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

Recommender systems for Go

Accelerated deep learning R&D

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python

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

Classic papers and resources on recommendation

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

Summary of social recommendation papers and codes

KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place

Recommendations for Ruby and Rails using collaborative filtering

Sequential deep matching model for recommender system at Alibaba

Recommendation based on sequence

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

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"

FINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) for users over a longer time horizon.

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

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

KDD17_FMG

Disentagnled Graph Collaborative Filtering, SIGIR2020

A list of interesting graph neural networks (GNN) links with a primary interest in recommendations and tensorflow that is continually updated and refined

Recommend system learning resources and learning notes

Search/Recommendation engine and metainformation server for fanfiction net

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.

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

CRSLab is an open-source toolkit for building Conversational Recommender System (CRS).