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awesome-network-embedding

A curated list of network embedding techniques.

bine

BiNE: Bipartite Network Embedding

bpr

Bayesian Personalized Ranking

bpr_mpr

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

datasets-for-recommneder-systems

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deepcf

DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System

dream

rnn based model for recommendations

fpmc

Implementation of the Factorizing Personalized Markov Chains for Next-Basket Recommendation

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

ggnn

Gated Graph Sequence Neural Networks

graph_convolutional_lstm

High-Order Graph Convolutional Recurrent Neural Network

graphrec-www19

Graph Neural Networks for Social Recommendation, WWW'19

gru4rec

GRU4Rec is the cleaned & simplified implementation of the algorithm of the "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016. The code is stripped of features that we had found to be unhelpful in increasing accuracy.

hgru4rec

Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"

ikihiyori.github.io

hello,I am IkiHiyori.

mlc

modernwebprograming

Web programing

monotonic-woe-binning-algorithm

Python package that optimizes information value, weight-of-evidence monotonicity and representativeness of features for credit scorecard models (pip install monotonic-binning)

neural_graph_collaborative_filtering

Neural Graph Collaborative Filtering, SIGIR2019

probabilistic-matrix-factorization

概率矩阵分解

pygat

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

pygru4rec

PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)

recommendersystem-dataset

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

recsys

algorithms about recommender systems：probabilistic matrix factorization

recurrent_recommender_networks

An implementation of "Recurrent Recommender Networks" with Tensorflow.

social-recommendation-using-matrix-factorization

spatio-temporal-paper-list

Spatio-temporal modeling 论文列表（主要是graph convolution相关)

standard-readme

A standard style for README files