twinklechan

twinklechan's Stars

• Applied-Machine-Learning-Lab/M3oE

  Code for SIGIR 2024 paper: M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework

  Language:Python194

• dgliu/WSDM24_MultiFS

  Experiments codes for WSDM '24 paper "MultiFS: Automated Multi-Scenario Feature Selection in Deep Recommender Systems"

  Language:Python71

• WujiangXu/AMID

  The code for WWW2024 paper "Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions".

  Language:Python161

• lpworld/DASL

  Language:Python122

• pliang279/awesome-multimodal-ml

  Reading list for research topics in multimodal machine learning

  5.9k844

• archersama/Uni-CTR

  Source code of paper "A Unified Framework for Multi-Domain CTR Prediction via Large Language Models"

  Language:Python171

• PaddlePaddle/Paddle

  PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

  Language:C++22.1k5.5k

• RUCAIBox/UFIN

  Language:Python8

• theeluwin/session-aware-bert4rec

  Official repository for "Exploiting Session Information in BERT-based Session-aware Sequential Recommendation", SIGIR 2022 short.

  Language:Python364

• PaddlePaddle/PaddleRec

  Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，包含经典推荐系统数据集criteo 、movielens等

  Language:Python4.2k722

• reczoo/FuxiCTR

  A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

  Language:Python895153

• LiangcaiSu/STEM

  [AAAI 2024] The open source code for "STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation".

  Language:Python382

• qwerfdsaplking/SATrans

  The source code for our paper "Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction" (accepted by KDD2023 Applied Science Track), which proposes a model for Multi-Scenario/Multi-Domain Recommendation.

  Language:Python314

• codectr/RefineCTR

  The code of <A Comprehensive Analysis and Evaluation of Feature Refinement Modules for CTR Prediction>

  Language:Python83

• ShichenXie/scorecardpy

  Scorecard Development in python, 评分卡

  Language:Python716303

• lqfarmer/CCDR

  Language:Python246

• RuihongQiu/DuoRec

  Code for WSDM 2022 paper, Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation.

  Language:Python9619

• quicklysnail/PPD-data-mining

  拍拍贷网贷数据挖掘，风控建模

  4539

• MGheini/xattn-transfer-for-mt

  Code and data to accompany the camera-ready version of "Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation" in EMNLP 2021

  Language:Python252

• google-research/multilingual-t5

  Language:Python1.2k127

• liuzuoping/MeachineLearning-Case

  Some case of MeachineLearning and DataMining(一些机器学习与数据挖掘的实战案例)

  Language:Jupyter Notebook5231

• QAQ5685150/RecommendSystem

  基于用户的推荐系统实现，pca降维+Canopy+k-means聚类+apriori算法

  Language:Python81

• sbbug/k-means

  使用k-means算法实现对用户金融数据的聚类分析

  Language:Python84

• NLPOR/SMP2018-task1

  深度学习用于近日头条用户画像

  Language:Python269

• chauncyzhu/csdnSMP

  csdn用户画像的源码

  Language:Python1914

• 03pie/SMPCUP2017

  CSDN用户画像技术评测

  Language:Python2712

• hczheng/Rong360

  用户贷款风险预测

  Language:Jupyter Notebook563318

• TaoMiner/joint-kg-recommender

  Language:Python23956

• hidasib/GRU4Rec

  GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

  Language:Python752223

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python18.8k3.1k