QinghongChen

QinghongChen's Stars

• maartenbuyl/rankformer

  RankFormer: Listwise Learning-to-Rank Using Listwide Labels (KDD 2023).

  Language:Python17

• huawei-noah/benchmark

  Language:HTML27469

• wzhe06/SparrowRecSys

  A Deep Learning Recommender System

  Language:Python2.4k829

• uchidalab/book-dataset

  This dataset contains 207,572 books from the Amazon.com, Inc. marketplace.

  Language:Python24253

• weiyinwei/MMGCN

  MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video

  Language:Python28052

• CAN-Paper/Co-Action-Network

  Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction

  Language:Python21058

• Konilgkms/2020_Autumn_Interview

  2020 Autumn Interview of Machine Learning

  2

• RUCAIBox/RecBole

  A unified, comprehensive and efficient recommendation library

  Language:Python3.4k606

• drawbridge/keras-mmoe

  A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

  Language:Python690219

• ShameCom/ShameCom

  收集校招污点公司或组织，帮助学弟学妹避雷。互联网不曾遗忘！

  5.6k329

• peiss/ant-learn-recsys

  推荐系统从入门到实战

  16892

• ZiyaoGeng/RecLearn

  Recommender Learning with Tensorflow2.x

  Language:Python1.9k492

• JushuangQiao/Python-Offer

  《剑指Offer》面试题Python实现

  Language:Python2.2k596

• akanakia/microsoft-academic-paper-recommender-user-study

  The raw data and analysis code for the Microsoft Academic paper recommender system user study conducted in 2018.

  Language:Python161

• TaoMiner/joint-kg-recommender

  Language:Python24056

• darwiin/yaac-another-awesome-cv

  YAAC: Another Awesome CV is a template using Font Awesome and Adobe Source Font.

  Language:TeX910244

• datawhalechina/pumpkin-book

  《机器学习》（西瓜书）公式详解

  23.9k4.7k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python18.9k3.1k

• DinLei/DeepFM-TF

  在ChenglongChen的DFM基础上完善训练中日志的记录（for tensorboard）和保存关键数据（embeddings）

  Language:Python72

• qiaoguan/deep-ctr-prediction

  CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

  Language:Python915276

• chenchongthu/JNSKR

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

  Language:Python295

• SSSxCCC/Recommender-System

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

  Language:Python40994

• alibaba/graph-learn

  An Industrial Graph Neural Network Framework

  Language:C++1.3k267

• hongleizhang/RSAlgorithms

  Some algorithms about traditional and social recommendation.

  Language:Python701202

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.4k3k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.1k3.6k

• AMinerOpen/prediction_api

  AMiner Prediction API is a toolkit for science data prediction, such as scholar portrait property prediction.

  Language:Python10522

• liu-jc/PyTorch_NGCF

  PyTorch Implemenation for Neural Graph Collaborative Filtering

  Language:Python277

• guoyang9/NCF

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

  Language:Python34063

• newlei/LR-GCCF

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

  Language:Python10725