Alternatives and similar repositories for recommendation_engine

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

• mottalrd / learning-to-rank
  Experiments on how to use machine learning to rank a product catalog
  ☆83Updated 8 years ago
• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 7 years ago
• meabhishekkumar / strata-conference-ca-2018
  environment setup for strata conference 2018
  ☆67Updated 7 years ago
• zygmuntz / evaluating-recommenders
  Compute and plot NDCG for a recommender system
  ☆95Updated 7 years ago
• criteo / CriteoDisplayCTR-TFOnSpark
  ☆27Updated 3 years ago
• labdac / Meta-Prod2Vec
  Repository for experiments with MetaProd2Vec and related algorithms.
  ☆58Updated 6 years ago
• appurwar / Contextual-Bandit-News-Article-Recommendation
  Predict and recommend the news articles, user is most likely to click in real time.
  ☆32Updated 7 years ago
• karthikmswamy / RecSys
  Builds a recommender system using TensorFlow
  ☆86Updated 8 years ago
• narviis / bayesian-abtests-examples
  Bayesian AB Tests Examples
  ☆22Updated 3 years ago
• EthanRosenthal / rec-a-sketch
  content discovery... IN 3D
  ☆49Updated 8 years ago
• AstronomerAmber / Project-Orient
  Creating a tunable and explainable recommendation system
  ☆39Updated 5 years ago
• aspk / Quora_question_pairs_NLP_Kaggle
  Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training
  ☆18Updated 6 years ago
• umeshksingla / news-recommend-ire
  Stream Data based News Recommendation - Contextual Bandit Approach
  ☆48Updated 7 years ago
• rk2900 / deep-conv-attr
  An implementation of our CIKM 2018 paper "Deep Conversion Attribution with Dual-attention Recurrent Neural Network"
  ☆62Updated 6 years ago
• jeanigarcia / recsys2018-evaluation-tutorial
  ☆78Updated 6 years ago
• Lab41 / hermes
  Recommender System Framework
  ☆125Updated 8 years ago
• huangy22 / NewsRecommender
  A news recommendation system tailored for user communities
  ☆206Updated 8 years ago
• hamelsmu / Seq2Seq_Tutorial
  Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"
  ☆138Updated 2 years ago
• PGuti / DeepBeer
  Experimentations on beers recsys using Keras
  ☆25Updated 7 years ago
• arifqodari / ExpediaLearningToRank
  Expedia Learning to Rank Hotels to Maximize Purchases, Kaggle Competition
  ☆44Updated 10 years ago
• DoosanJung / Item2Vec_Galvanize_project
  **Under construction**
  ☆31Updated 7 years ago
• mkurovski / deep_learning_recsys
  Deep Learning for Recommender Systems - Master Thesis, Current Results and Architecture
  ☆93Updated 7 years ago
• maciejkula / explicit-vs-implicit
  An experiment on explicit vs implicit feedback recommenders
  ☆25Updated 7 years ago
• alno / kaggle-outbrain-click-prediction
  ☆77Updated 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 7 years ago
• datadynamo / strata_ny_2017_recommender_tutorial
  Jupyter Notebooks for Strata Data Conference NY 2017 Deep Learning for Recommender Systems Tutorial
  ☆22Updated 7 years ago
• yangji9181 / ClusChurn
  A prototype implementation of ClusChurn based on PyTorch.
  ☆52Updated 7 years ago
• cemoody / simple_mf
  Simple but Flexible Recommendation Engine in PyTorch
  ☆133Updated 3 years ago
• aayushmnit / cookbook
  A repository of machine learning codes written for re-usability
  ☆143Updated 5 years ago
• mjugo / StreamingRec
  A news recommendation evaluation framework
  ☆43Updated 6 years ago