Alternatives and similar repositories for spark-ranking-metrics

Users that are interested in spark-ranking-metrics are comparing it to the libraries listed below

• deezer / w2v_reco_hyperparameters_matter
  Repository to reproduce results of "Word2vec applied to Recommendation: Hyperparameters Matter" by H. Caselles-Dupré, F. Lesaint and J. …
  ☆53Updated 6 years ago
• romovpa / ydf-recsys2015-challenge
  Solution of RecSys Challenge 2015
  ☆90Updated 8 years ago
• MrChrisJohnson / logistic-mf
  Logistic Matrix Factorization for Implicit Feedback Data. http://stanford.edu/~rezab/nips2014workshop/submits/logmat.pdf
  ☆160Updated 10 years ago
• zygmuntz / evaluating-recommenders
  Compute and plot NDCG for a recommender system
  ☆95Updated 8 years ago
• jeanigarcia / recsys2018-evaluation-tutorial
  ☆78Updated 6 years ago
• recsyschallenge / 2017
  ☆40Updated 7 years ago
• alfredolainez / bpr-spark
  Bayesian Personalized Ranking for Spark
  ☆39Updated 7 years ago
• blebreton / spark-FM-parallelSGD
  Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)
  ☆230Updated 9 years ago
• hexiangnan / sigir16-eals
  Experiments codes for SIGIR'16 paper "Fast Matrix Factorization for Online Recommendation with Implicit Feedback "
  ☆138Updated 7 years ago
• evancasey / spark-knn-recommender
  Item and User-based KNN recommendation algorithms using PySpark
  ☆125Updated 7 years ago
• recsyschallenge / 2019
  ☆101Updated 5 years ago
• Leavingseason / rnn_recsys
  Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"
  ☆141Updated 6 years ago
• dawenl / cofactor
  CoFactor: Regularizing Matrix Factorization with Item Co-occurrence
  ☆164Updated 8 years ago
• gamboviol / bpr
  Bayesian Personalized Ranking
  ☆213Updated 9 years ago
• DoosanJung / Item2Vec_Galvanize_project
  **Under construction**
  ☆31Updated 7 years ago
• skywaLKer518 / A-Recsys
  A Tensorflow based implicit recommender system
  ☆107Updated 5 years ago
• mquad / sars_tutorial
  Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
  ☆344Updated 4 years ago
• songgc / display-advertising-challenge
  Criteo/Kaggle Competition of CTR prediction
  ☆129Updated 10 years ago
• mquad / hgru4rec
  Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"
  ☆216Updated 2 years ago
• recommenders / rival
  RiVal recommender system evaluation toolkit
  ☆151Updated 6 years ago
• Seplanna / pairwiseLearning
  ☆16Updated 8 years ago
• dawenl / content_wmf
  Content-aware weighted matrix factorization
  ☆25Updated 10 years ago
• alexeygrigorev / outbrain-click-prediction-kaggle
  Solution to the Outbrain Click Prediction competition
  ☆148Updated 8 years ago
• 77abe77 / Collaborative-Denoising-Autoencoder
  Implementation of Deep Learning model for Recommendation System in Tensorflow
  ☆13Updated 8 years ago
• zhengruifeng / spark-libFM
  An implement of Factorization Machines (LibFM)
  ☆252Updated 7 years ago
• layer6ai-labs / DropoutNet
  Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"
  ☆178Updated last year
• jfloff / pywFM
  pywFM is a Python wrapper for Steffen Rendle's factorization machines library libFM
  ☆252Updated 6 years ago
• MehdiAbbanaBennani / Neural-Networks-for-Collaborative-Filtering
  Deep Learning for Recommendation
  ☆34Updated 8 years ago
• xiaoouzhang / Collaborative-Deep-Learning-for-Recommender-Systems
  The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior …
  ☆72Updated 7 years ago
• yufengg / widendeep
  wide and deep labs and samples
  ☆139Updated 6 years ago