Alternatives and similar repositories for rosetta_recsys2019

Users that are interested in rosetta_recsys2019 are comparing it to the libraries listed below

• labdac / Meta-Prod2Vec
  Repository for experiments with MetaProd2Vec and related algorithms.
  ☆59Updated 6 years ago
• logicai-io / recsys2019
  ☆94Updated 2 years ago
• jrzaurin / RecoTour
  A tour through recommendation algorithms in python [IN PROGRESS]
  ☆178Updated last year
• layer6ai-labs / RecSys2018
  1'st Place Approach by Layer6 AI to the 2018 ACM RecSys Challenge
  ☆84Updated 2 years ago
• RandolphVI / Next-Basket-Recommendation
  About Next Basket Recommendations Based on Neural Network.
  ☆48Updated 5 years ago
• cemoody / simple_mf
  Simple but Flexible Recommendation Engine in PyTorch
  ☆133Updated 3 years ago
• liyinxiao / Ranking_Papers
  Papers on recommendation system / search ranking.
  ☆44Updated 2 weeks ago
• yihong-chen / DREAM
  rnn based model for recommendations
  ☆91Updated 4 years ago
• amoussawi / recoder
  Large scale training of factorization models for Collaborative Filtering with PyTorch
  ☆57Updated 2 years ago
• rank2rec / rerank
  ☆83Updated 6 years ago
• airalcorn2 / RankNet
  My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.
  ☆248Updated 7 years ago
• jfpuget / LibFM_in_Keras
  This notebook shows how to implement LibFM in Keras and how it was used in the Talking Data competition on Kaggle.
  ☆187Updated 7 years ago
• recsyschallenge / 2019
  ☆101Updated 5 years ago
• jeanigarcia / recsys2018-evaluation-tutorial
  ☆78Updated 7 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
• makgyver / rectorch
  rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
  ☆150Updated 4 years ago
• mottalrd / learning-to-rank
  Experiments on how to use machine learning to rank a product catalog
  ☆83Updated 8 years ago
• HarshdeepGupta / recommender_pytorch
  A recommender system in PyTorch from scratch.
  ☆117Updated 7 years ago
• jionie / Google-Quest-Answer
  ☆19Updated 5 years ago
• msnews / MIND
  Microsoft News Dataset
  ☆124Updated 5 years ago
• criteo-research / CausE
  Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
  ☆248Updated 7 years ago
• acbull / Unbiased_LambdaMart
  Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM
  ☆224Updated 6 years ago
• criteo-research / bandit-reco
  ☆51Updated 5 years ago
• mquad / hgru4rec
  Code for our ACM RecSys 2017 paper "Personalizing Session-based Recommendation with Hierarchical Recurrent Neural Networks"
  ☆216Updated 3 years ago
• MengtingWan / chainRec
  Mengting Wan, Julian McAuley, "Item Recommendation on Monotonic Behavior Chains", in Proc. of 2018 ACM Conference on Recommender Systems …
  ☆56Updated last year
• p768lwy3 / torecsys
  ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…
  ☆106Updated 3 years ago
• umeshksingla / news-recommend-ire
  Stream Data based News Recommendation - Contextual Bandit Approach
  ☆47Updated 8 years ago
• evfro / recsys19_hybridsvd
  Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
  ☆24Updated 6 years ago
• Leavingseason / rnn_recsys
  Our implementation of the paper "Embedding-based News Recommendation for Millions of Users"
  ☆140Updated 7 years ago
• yhs968 / pyGRU4REC
  PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)
  ☆149Updated 6 years ago