Alternatives and similar repositories for ExpediaLearningToRank

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

• mkneierV / kaggle_avazu_benchmark
  Kaggle Avazu beat-the-benchmark model
  ☆36Updated 10 years ago
• swapniel99 / criteo
  A potential 22nd rank solution to Criteo Labs Display Advertising Challenge on Kaggle
  ☆25Updated 7 years ago
• rpalovics / recsys-2017-online-learning-tutorial
  ☆77Updated 7 years ago
• MLWave / kaggle-criteo
  Kaggle Criteo https://www.kaggle.com/c/criteo-display-ad-challenge
  ☆97Updated 10 years ago
• andreweskeclarke / learning-rank-public
  Learning Rank
  ☆78Updated 8 years ago
• songgc / display-advertising-challenge
  Criteo/Kaggle Competition of CTR prediction
  ☆130Updated 10 years ago
• sujitpal / reuters-docsim
  Different approaches to computing document similarity
  ☆28Updated 8 years ago
• dariasor / TreeExtra
  Additive Groves, Bagged Trees with Feature Evaluation, Interaction Detection, Visualization of Feature Effects.
  ☆65Updated 4 years ago
• kopopt / fast_tffm
  fast_tffm: Tensorflow-based Distributed Factorization Machine
  ☆143Updated 8 years ago
• haoopeng / CNN-yelp-challenge-2016-sentiment-classification
  IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 re…
  ☆109Updated 5 years ago
• alfredolainez / bpr-spark
  Bayesian Personalized Ranking for Spark
  ☆40Updated 7 years ago
• jattenberg / RankLib
  A Learning to Rank Library
  ☆135Updated 12 years ago
• zygmuntz / evaluating-recommenders
  Compute and plot NDCG for a recommender system
  ☆95Updated 7 years ago
• THUIR / PSCMModel
  ☆27Updated 9 years ago
• alno / kaggle-outbrain-click-prediction
  ☆77Updated 8 years ago
• daxiongshu / light-ffm
  ☆108Updated 8 years ago
• rnowling / rec-sys-experiments
  Some experiments with recommendation systems
  ☆28Updated 7 years ago
• juliandewit / kaggle_criteo
  Software for the kaggle criteo challenge
  ☆53Updated 10 years ago
• evancasey / spark-knn-recommender
  Item and User-based KNN recommendation algorithms using PySpark
  ☆126Updated 7 years ago
• meabhishekkumar / strata-conference-ca-2018
  environment setup for strata conference 2018
  ☆67Updated 7 years ago
• fabiopetroni / libfm_with_BPR
  ☆20Updated 8 years ago
• vicmak / item2vec
  items browsed in a session as a context are modeled to vec with bidirectional lstm
  ☆18Updated 8 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 6 years ago
• manasRK / word2vec-recommender
  Recommendation engine based on contextual word embeddings
  ☆136Updated 8 years ago
• infinitezxc / kaggle-avazu
  Code for the 3rd place finish for Avazu Click-Through Rate Prediction
  ☆87Updated 10 years ago
• DoosanJung / Item2Vec_Galvanize_project
  **Under construction**
  ☆31Updated 7 years ago
• CNevd / DeepLearning-MXNet
  MXNet for CTR
  ☆50Updated 7 years ago
• blei-lab / ctr
  Collaborative modeling for recommendation. Implements variational inference for a collaborative topic models. These models recommend item…
  ☆147Updated 9 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…
  ☆31Updated 5 years ago
• nzw0301 / lightLDA
  fast sampling algorithm based on CGS
  ☆50Updated 5 years ago