430 Open source projects that are alternatives of or similar to NARRE

This is our implementation of SAMN: Social Attentional Memory Network

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

One Person, One Model, One World: Learning Continual User Representation without Forgetting

This is our implementation of EATNN: Efficient Adaptive Transfer Neural Network (SIGIR 2019)

Classic papers and resources on recommendation

Attention,Factorization Machine, Deep Learning, Recommender System

Disentagnled Graph Collaborative Filtering, SIGIR2020

A simple movie recommendation engine

Recommendation based on sequence

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.

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

TensorFlow implemenation of GRu4Rec model

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

TianChi AIEarth Contest Solution

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

A Neural Network based Chatbot

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

An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"

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

📝 SZU Undergraduate Thesis -- Recommender System

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.

Asymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images

Attention-based bidirectional LSTM for Classification Task (ICASSP)

CoFactor: Regularizing Matrix Factorization with Item Co-occurrence

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

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"

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

An implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem

Recommendations for Ruby and Rails using collaborative filtering

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

Fast Python Collaborative Filtering for Implicit Feedback Datasets

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

Implementation of Memory-Compressed Attention, from the paper "Generating Wikipedia By Summarizing Long Sequences"

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

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

Neural Models for Key Phrase Detection and Question Generation

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

Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification

Collaborative Memory Network for Recommendation Systems, SIGIR 2018

A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction

Paper list of NLP for recommender systems

Chainer implementation of Deepmind's Visual Attention Model paper

entity2rec generates item recommendation using property-specific knowledge graph embeddings

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

Recommender systems for Go

[ACM MM 2017 & IEEE TMM 2020] This is the Theano code for the paper "Video Description with Spatial Temporal Attention"

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

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

[ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering

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

Sentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.

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

RiVal recommender system evaluation toolkit

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

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

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 !

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

PyTorch Implementation for Neural Graph Collaborative Filtering

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

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.