xingwudao / learning-to-rank-with-implicit-matrix

Related projects: ⓘ

• wangkobe88 / Earth
  ☆27Updated 6 years ago
• zldeng / XgboostAndLR
  use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR
  ☆44Updated 6 years ago
• Tristan-Chow / Recommendation-System-based-on-TensorFlow
  Neural candidates generation network based on Youtube reommender paper
  ☆19Updated 5 years ago
• QingqingSUN / YoutubeNet
  recommendation system with Youtube Deep Net
  ☆82Updated 6 years ago
• Hourout / CTR-keras
  Tensorflow2.x implementations of CTR（LR、FM、FFM)
  ☆72Updated 3 years ago
• drcut / FFM-tensorflow
  FFM implement with tensorflow by Python
  ☆61Updated 6 years ago
• CastellanZhang / lambdaFM
  Multi-thread implementation of lambdaFM with FTRL for ranking problem. LambdaFM is a learning-to-rank algorithm by combining LambdaRank a…
  ☆111Updated 3 years ago
• yangxudong / papers
  算法相关的各种论文和slides
  ☆42Updated 5 years ago
• oywtece / deepmcp
  Deep Matching, Correlation and Prediction (DeepMCP) Model
  ☆125Updated 4 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
• R-Stalker / deep_learning_estimator_labels
  ☆68Updated this week
• ctjoy / item2vec
  Implement item2vec algorithm
  ☆77Updated 6 years ago
• lytforgood / TextClassification
  deep learning in text classification(keras)
  ☆52Updated 5 years ago
• charleshm / deep-ctr
  ☆91Updated 6 years ago
• Lapis-Hong / Wide-ResDNN
  Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
  ☆82Updated 5 years ago
• hczheng / 2016Bytecup
  2016 Byte Cup国际机器学习竞赛
  ☆25Updated 7 years ago
• duoan / ijcai18-mama-ads-competition
  IJCAI-18 阿里妈妈搜索广告转化预测初赛方案
  ☆72Updated 6 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
• datawlb / code
  code exercise: dbscan(ballTree improve) | ctr(ftrl) | text classification(bayes..) | kmeans | general LR |..
  ☆26Updated 8 years ago
• SongDark / DeepFM_keras
  A simple DeepFM.
  ☆101Updated 6 years ago
• wangru8080 / Deep_CTR
  ☆31Updated 2 years ago
• babakx / fm_tensorflow
  Factorization Machines implementation with Tensorflow
  ☆143Updated 5 years ago
• AshutoshDongare / Tensorflow-Wide-Deep-Local-Prediction
  This project demonstrates how to run and save predictions locally using exported tensorflow estimator model
  ☆30Updated 6 years ago
• Hirosora / LightCTR
  LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
  ☆102Updated 10 months ago
• ymkigeg / tensorflow_serving
  show how to use tensorflow estimator train and export model, then serving model and call for prediction
  ☆25Updated last year
• zsyandjyhouse / TencentAD_contest
  第一届腾讯社交广告算法大赛
  ☆41Updated 7 years ago
• keyunluo / Tencent2018_Lookalike_Rank10th
  2018年腾讯广告算法大赛Rank10代码：深度部分
  ☆68Updated 6 years ago
• batch-norm / xDeepFM
  xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
  ☆130Updated 4 years ago
• titicaca / spark-gbtlr
  Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
  ☆88Updated 5 years ago
• neal668 / GBDT-FM
  An implementation of GBDT+FM
  ☆24Updated 7 years ago