Alternatives and similar repositories for benchmark:

Users that are interested in benchmark are comparing it to the libraries listed below

• Prayforhanluo / CTR_Algorithm
  一些经典的CTR算法的复现; LR, FM, FFM, AFM, DeepFM, xDeepFM, PNN, DCN, DCNv2, DIFM, AutoInt, FiBiNet,AFN,ONN,DIN, DIEN ... （pytorch, tf2.0）
  ☆250Updated 2 years ago
• xidongbo / AITM
  TensorFlow implementation of Adaptive Information Transfer Multi-task (AITM) framework. Code for the paper accepted by KDD21: Modeling th…
  ☆109Updated last year
• aister2020 / KDDCUP_2020_Debiasing_1st_Place
  ☆172Updated 4 years ago
• JianzhouZhan / Awesome-RecSystem-Models
  Implements of Awesome RecSystem Models with PyTorch/TF2.0
  ☆257Updated 4 years ago
• DSXiangLi / CTR
  CTR模型代码和学习笔记总结
  ☆383Updated 3 years ago
• guyulongcs / CIKM2020_DMT
  Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020
  ☆113Updated 4 years ago
• xuetf / KDD_CUP_2020_Debiasing_Rush
  Solution to the Debiasing Track of KDD CUP 2020
  ☆159Updated 2 years ago
• tomtang110 / Multitask
  The project including MMOE, SNR_trans, SNR_avg, PLE, etc implemented by pytorch.
  ☆134Updated 4 years ago
• ShaoQiBNU / Google_MTL
  Google多任务模型MMoE
  ☆80Updated 4 years ago
• zhuchenxv / AutoFIS
  AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction
  ☆184Updated 3 years ago
• CAN-Paper / Co-Action-Network
  Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction
  ☆218Updated 3 years ago
• easezyc / Multitask-Recommendation-Library
  MTReclib provides a PyTorch implementation of multi-task recommendation models and common datasets.
  ☆311Updated 2 years ago
• lvze92 / DMR
  Deep Match to Rank Model for Personalized Click-Through Rate Prediction
  ☆235Updated 5 years ago
• i-Jayus / RecSystem-Pytorch
  推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, met…
  ☆187Updated last year
• duboya / CTR-Prediction
  Sharing the CTR Prediction original paper and personal study notes
  ☆146Updated 5 years ago
• fanoping / DIN-pytorch
  PyTorch Implementation of Deep Interest Network for Click-Through Rate Prediction
  ☆74Updated 5 years ago
• huangsg1 / Internet-advertising-mechanism-and-strategy
  计算广告机制策略相关材料整理(A collection of research and application papers about Strategy in Internet advertising.)
  ☆157Updated last year
• wziji / deep_ctr
  ☆214Updated 4 years ago
• Shicoder / Deep_Rec
  存放推荐算法相关代码、文档、资料
  ☆242Updated 4 years ago
• tangxyw / RecAlgorithm
  主流推荐系统Rank算法的实现
  ☆231Updated last year
• THUDM / ComiRec
  Source code and dataset for KDD 2020 paper "Controllable Multi-Interest Framework for Recommendation"
  ☆290Updated 3 years ago
• stasi009 / PracticalGuidetoRecSys
  《互联网大厂推荐算法实战》资料库
  ☆265Updated last year
• Jesse-csj / TensorFlow_Practice
  推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/
  ☆288Updated 3 years ago
• UIC-Paper / MIMN
  ☆287Updated 5 years ago
• 99731 / M2GRL
  A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"
  ☆97Updated 4 years ago
• shawroad / DeepCTR-pytorch
  Here are the models listed in CTR. Example: FM、DeepFM、xDeepFM etc.
  ☆67Updated 7 months ago
• busesese / MultiTaskModel
  multi task mode for esmm and mmoe
  ☆138Updated 3 years ago
• zanshuxun / WeChat_Big_Data_Challenge_DeepCTR_baseline
  ☆103Updated 2 years ago
• wangzhegeek / EGES
  ☆391Updated last week
• RUCAIBox / RSPapers
  Must-read papers on Recommender System. 推荐系统相关论文整理（内含40篇论文，并持续更新中）
  ☆89Updated 5 years ago