Alternatives and similar repositories for ExpediaLearningToRank

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

• manasRK / word2vec-recommender
  Recommendation engine based on contextual word embeddings
  ☆136Updated 8 years ago
• zygmuntz / evaluating-recommenders
  Compute and plot NDCG for a recommender system
  ☆95Updated 7 years ago
• mottalrd / learning-to-rank
  Experiments on how to use machine learning to rank a product catalog
  ☆83Updated 8 years ago
• jattenberg / RankLib
  A Learning to Rank Library
  ☆135Updated 12 years ago
• alno / kaggle-outbrain-click-prediction
  ☆77Updated 8 years ago
• dariasor / TreeExtra
  Additive Groves, Bagged Trees with Feature Evaluation, Interaction Detection, Visualization of Feature Effects.
  ☆65Updated 4 years ago
• MLWave / kaggle-criteo
  Kaggle Criteo https://www.kaggle.com/c/criteo-display-ad-challenge
  ☆97Updated 11 years ago
• daxiongshu / tradeshift-text-classification
  This is the 1st place solution of a kaggle machine contest: Tradeshift Text Classification. http://www.kaggle.com/c/tradeshift-text-class…
  ☆149Updated 10 years ago
• alexeygrigorev / outbrain-click-prediction-kaggle
  Solution to the Outbrain Click Prediction competition
  ☆149Updated 8 years ago
• DoosanJung / Item2Vec_Galvanize_project
  **Under construction**
  ☆31Updated 7 years ago
• rpalovics / recsys-2017-online-learning-tutorial
  ☆77Updated 7 years ago
• songgc / display-advertising-challenge
  Criteo/Kaggle Competition of CTR prediction
  ☆129Updated 10 years ago
• discobot / LambdaMart
  LambdaMart python implementation
  ☆73Updated 10 years ago
• gabrielspmoreira / kaggle_outbrain_click_prediction_google_cloud_ml_engine
  A POC of Google's Wide & Deep Learning models deployed on Google Cloud ML Engine for Kaggle's Outbrain Click Competition
  ☆36Updated 7 years ago
• daxiongshu / light-ffm
  ☆108Updated 8 years ago
• MLWave / Online-Random-Bit-Regression-FTRL
  Online Random Bit Regression with FTRL-Proximal in Python
  ☆75Updated 9 years ago
• evancasey / spark-knn-recommender
  Item and User-based KNN recommendation algorithms using PySpark
  ☆125Updated 7 years ago
• swapniel99 / criteo
  A potential 22nd rank solution to Criteo Labs Display Advertising Challenge on Kaggle
  ☆25Updated 7 years ago
• sujitpal / reuters-docsim
  Different approaches to computing document similarity
  ☆28Updated 8 years ago
• mkneierV / kaggle_avazu_benchmark
  Kaggle Avazu beat-the-benchmark model
  ☆36Updated 10 years ago
• kopopt / fast_tffm
  fast_tffm: Tensorflow-based Distributed Factorization Machine
  ☆142Updated 8 years ago
• vicmak / item2vec
  items browsed in a session as a context are modeled to vec with bidirectional lstm
  ☆18Updated 8 years ago
• mjugo / StreamingRec
  A news recommendation evaluation framework
  ☆43Updated 6 years ago
• andreweskeclarke / learning-rank-public
  Learning Rank
  ☆78Updated 8 years ago
• rnowling / rec-sys-experiments
  Some experiments with recommendation systems
  ☆28Updated 7 years ago
• jturkewitz / SideProjects
  ☆28Updated 8 years ago
• zygmuntz / classifying-text
  Classifying text with bag-of-words
  ☆113Updated 10 years ago
• meabhishekkumar / strata-conference-ca-2018
  environment setup for strata conference 2018
  ☆67Updated 7 years ago
• THUIR / PSCMModel
  ☆27Updated 10 years ago
• qqgeogor / kaggle_quora_benchmark
  ☆62Updated 8 years ago