Alternatives and similar repositories for FFMFormat:

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

• Songbo729066989 / tencent_ad_ffm_baseline
  ☆31Updated 6 years ago
• andyxzq / gbdt_lr_in_recsys
  Using gbdt+lr in recommend system and comparing the auc of lr, gbdt, gbdt+lr.
  ☆24Updated 7 years ago
• JerryZhong / GBDT
  simple multi-class GBDT
  ☆15Updated 11 years ago
• neal668 / GBDT-FM
  An implementation of GBDT+FM
  ☆24Updated 8 years ago
• AlisaBen / marvel
  Bytedance ICME2019
  ☆12Updated 6 years ago
• ivanliu1989 / AVAZU-CTR-Prediction
  In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. As a result, click prediction s…
  ☆32Updated 5 years ago
• rpasricha / TransFM
  ☆83Updated 5 years ago
• wangru8080 / Deep_CTR
  ☆31Updated 2 years ago
• totoruo / FfmEncoder
  convert DataFrame to libffm data format in parallel
  ☆30Updated 7 years ago
• PnYuan / Practice-of-Machine-Learning
  code of scattered practices when studying "machine-learning".
  ☆91Updated 5 years ago
• lemon234071 / 2018-
  qq2018spa
  ☆38Updated 6 years ago
• AugustusYu / BPR
  Experiments codes for WWW 2018 Poster paper "An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data "
  ☆16Updated 7 years ago
• cnfsll / Attentional-Neural-Factorization-Machine
  Attention,Factorization Machine, Deep Learning, Recommender System
  ☆39Updated 7 years ago
• cheungdaven / deeplearning4recommendersystem
  deep learning for recommender system
  ☆44Updated 6 years ago
• zhyfzy / Tantan-Recommendation-Diversity
  探探项目 - 提升推荐系统的推荐多样性
  ☆31Updated 7 years ago
• andrew-zzz / tree-based-deep-model
  it's the realization of Tree-based Deep Model with tensorflow
  ☆32Updated 5 years ago
• zldeng / XgboostAndLR
  use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR
  ☆44Updated 7 years ago
• ARASC / papers
  papers we read about Recommendation Advertising & Search
  ☆31Updated 4 years ago
• weiweijiuzaizhe / ctr_pipeline
  通过对于现有开源分布式机器学习工具的整合(主要是基于参数服务器的logistic regression,xgboost,FFM,FM ),打造一个工业级的,可以线上使用的点击率预估流水线
  ☆26Updated 7 years ago
• yangxudong / papers
  算法相关的各种论文和slides
  ☆42Updated 6 years ago
• EliasCai / bytedance-icme
  code for 2019 bytedance icme
  ☆15Updated 6 years ago
• guojiasheng / gbdt
  gdbt implement by scikit-learn
  ☆25Updated 7 years ago
• yinyajun / Details-In-Recommendation
  Recommender-In-Detail is a package which offers detailed implementations of state-of-the-art techniques and basic methods in recommendati…
  ☆19Updated 5 years ago
• CastellanZhang / alphaFM_softmax
  Multi-thread implementation of Factorization Machines with FTRL for multi-class classification problem which uses softmax as hypothesis.
  ☆70Updated 3 years ago
• cnfsll / Neural-Factorization-Machine
  Factorization Machine, Deep Learning, Recommender System
  ☆18Updated 7 years ago
• aimetrics / jarvis
  Jarvis is a toolbox built on top of TensorFlow2.0 that allows developers and researchers to easily build neural networks in TensorFlow, p…
  ☆37Updated 4 years ago
• qqgeogor / bytecup_solution
  ☆37Updated 8 years ago
• Hourout / CTR-keras
  Tensorflow2.x implementations of CTR（LR、FM、FFM)
  ☆72Updated 3 years ago
• Hirosora / LightCTR
  LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
  ☆102Updated last year
• altmanWang / IJCAI-18-CVR
  IJCAI-18 阿里妈妈搜索广告转化预测总结
  ☆21Updated 6 years ago