Alternatives and similar repositories for learning-to-rank-with-implicit-matrix:

Users that are interested in learning-to-rank-with-implicit-matrix are comparing it to the libraries listed below

• wangkobe88 / Earth
  ☆27Updated 7 years ago
• Tristan-Chow / Recommendation-System-based-on-TensorFlow
  Neural candidates generation network based on Youtube reommender paper
  ☆21Updated 6 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
• QingqingSUN / YoutubeNet
  recommendation system with Youtube Deep Net
  ☆84Updated 6 years ago
• hczheng / 2016Bytecup
  2016 Byte Cup国际机器学习竞赛
  ☆26Updated 8 years ago
• Hourout / CTR-keras
  Tensorflow2.x implementations of CTR（LR、FM、FFM)
  ☆72Updated 3 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…
  ☆110Updated 3 years ago
• cnfsll / Attentional-Neural-Factorization-Machine
  Attention,Factorization Machine, Deep Learning, Recommender System
  ☆39Updated 7 years ago
• Songbo729066989 / tencent_ad_ffm_baseline
  ☆31Updated 6 years ago
• AshutoshDongare / Tensorflow-Wide-Deep-Local-Prediction
  This project demonstrates how to run and save predictions locally using exported tensorflow estimator model
  ☆30Updated 7 years ago
• lxmly / recsyspy
  Classic recommendation algorithms implementation
  ☆42Updated 3 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
• oywtece / deepmcp
  Deep Matching, Correlation and Prediction (DeepMCP) Model
  ☆125Updated 4 years ago
• searchlink / wide_deep_model
  基于wide deep模型的CTR预估，从训练到部署
  ☆16Updated 5 years ago
• Hirosora / LightCTR
  LightCTR is a tensorflow 2.0 based, extensible toolbox for building CTR/CVR predicting models.
  ☆102Updated last year
• andrew-zzz / tree-based-deep-model
  it's the realization of Tree-based Deep Model with tensorflow
  ☆32Updated 5 years ago
• ctjoy / item2vec
  Implement item2vec algorithm
  ☆76Updated 6 years ago
• Lapis-Hong / Wide-ResDNN
  Wide and Deep Learning(Wide&ResDNN) for Kaggle Criteo Dataset in tensorflow
  ☆82Updated 6 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
• godkillok / tensorflow_template
  ☆14Updated 6 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
• nosuggest / dnn_ctr
  The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc
  ☆18Updated 7 years ago
• neal668 / GBDT-FM
  An implementation of GBDT+FM
  ☆24Updated 8 years ago
• SongDark / DeepFM_keras
  A simple DeepFM.
  ☆101Updated 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
• drcut / FFM-tensorflow
  FFM implement with tensorflow by Python
  ☆60Updated 7 years ago
• haorenhao / _posts
  ☆22Updated 5 years ago
• titicaca / spark-gbtlr
  Hybrid model of Gradient Boosting Trees and Logistic Regression (GBDT+LR) on Spark
  ☆88Updated 6 years ago
• fanfanda / OGeek-Competition
  Sharing of the second-place solution in Tianchi OGeek competition.
  ☆22Updated 5 months ago
• babakx / fm_tensorflow
  Factorization Machines implementation with Tensorflow
  ☆143Updated 6 years ago