Alternatives and similar repositories for Meta-Prod2Vec

Users that are interested in Meta-Prod2Vec are comparing it to the libraries listed below

• maciejkula / mixture
  ☆27Updated 7 years ago
• amoussawi / recoder
  Large scale training of factorization models for Collaborative Filtering with PyTorch
  ☆56Updated 2 years ago
• criteo-research / bandit-reco
  ☆51Updated 4 years ago
• maciejkula / explicit-vs-implicit
  An experiment on explicit vs implicit feedback recommenders
  ☆25Updated 7 years ago
• jeanigarcia / recsys2018-evaluation-tutorial
  ☆78Updated 7 years ago
• ncu-dart / behavior2vec
  ☆20Updated 6 years ago
• umeshksingla / news-recommend-ire
  Stream Data based News Recommendation - Contextual Bandit Approach
  ☆48Updated 7 years ago
• olivierjeunen / dual-bandit-kdd-2020
  Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.
  ☆23Updated 2 years ago
• deezer / carousel_bandits
  Source code and data from the RecSys 2020 article "Carousel Personalization in Music Streaming Apps with Contextual Bandits" by W. Bendad…
  ☆58Updated 5 years ago
• RandolphVI / Next-Basket-Recommendation
  About Next Basket Recommendations Based on Neural Network.
  ☆48Updated 5 years ago
• irecsys / Tutorial_MSRS
  Tutorial for Multi-Stakeholder Recommender Systems
  ☆22Updated 4 years ago
• mjugo / StreamingRec
  A news recommendation evaluation framework
  ☆43Updated 7 years ago
• kiudee / cs-ranking
  Context-sensitive ranking and choice in Python with PyTorch
  ☆67Updated 2 years ago
• mottalrd / learning-to-rank
  Experiments on how to use machine learning to rank a product catalog
  ☆83Updated 8 years ago
• cemoody / simple_mf
  Simple but Flexible Recommendation Engine in PyTorch
  ☆133Updated 3 years ago
• ruhan / toyslim
  Toy implementation of SLIM and SSLIM Recommendation methods.
  ☆42Updated 7 years ago
• louislung / DAE_RNN_News_Recommendation
  Refer to paper "Embedding-based News Recommendation for Millions of Users" & "Article De-duplication Using Distributed Representations" p…
  ☆31Updated 2 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
• recsyschallenge / 2017
  ☆40Updated 7 years ago
• zygmuntz / evaluating-recommenders
  Compute and plot NDCG for a recommender system
  ☆95Updated 8 years ago
• layer6ai-labs / RecSys2018
  1'st Place Approach by Layer6 AI to the 2018 ACM RecSys Challenge
  ☆83Updated last year
• aarivan / Graph-Embeddings-for-Recommender-Systems
  In this project, we will revisit the problem central to recommender systems: predicting a user’s preference for some item they have not y…
  ☆25Updated 8 years ago
• yihong-chen / DREAM
  rnn based model for recommendations
  ☆91Updated 4 years ago
• rosetta-ai / rosetta_recsys2019
  The 4th Place Solution to the 2019 ACM Recsys Challenge by Team RosettaAI
  ☆58Updated 5 years ago
• fabioiuri / DRecPy
  Deep Recommenders with Python: A Python library for building Deep Learning based Recommender Systems
  ☆28Updated 4 years ago
• hpclab / rankeval
  Official repository of RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions.
  ☆88Updated 5 years ago
• criteo / CriteoDisplayCTR-TFOnSpark
  ☆27Updated 4 years ago
• yangji9181 / ClusChurn
  A prototype implementation of ClusChurn based on PyTorch.
  ☆52Updated 7 years ago
• PreferredAI / cbs
  Modeling Contemporaneous Basket Sequences with Twin Networks for Next-Item Recommendation
  ☆12Updated 2 years ago
• GiulioRossetti / tbp-next-basket
  TARS based prediction for Next Basket
  ☆23Updated 7 years ago