Alternatives and similar repositories for MarketBasket

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

• irecsys / Tutorial_MSRS
  Tutorial for Multi-Stakeholder Recommender Systems
  ☆22Updated 4 years ago
• usaito / unbiased-pairwise-rec
  (ICTIR2020) "Unbiased Pairwise Learning from Biased Implicit Feedback"
  ☆19Updated 2 years ago
• StatsDLMathsRecomSys / Knowledge-aware-complementary-product-representation-learning
  ☆12Updated 3 years ago
• GiulioRossetti / tbp-next-basket
  TARS based prediction for Next Basket
  ☆23Updated 7 years ago
• nd7141 / recsystutorial
  ☆16Updated 5 years ago
• labdac / Meta-Prod2Vec
  Repository for experiments with MetaProd2Vec and related algorithms.
  ☆59Updated 6 years ago
• zhaoxy92 / GLaRA
  GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition
  ☆31Updated 3 years ago
• david-cortes / ctpfrec
  Python implementation of "Content-based recommendations with poisson factorization", with some extensions
  ☆30Updated 2 years ago
• titu1994 / tf-sha-rnn
  Tensorflow port implementation of Single Headed Attention RNN
  ☆16Updated 5 years ago
• olivierjeunen / pessimism-recsys-2021
  Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.
  ☆11Updated 2 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
• olivierjeunen / ease-side-info-recsys-2020
  Source code for our LBR paper "Closed-Form Models for Collaborative Filtering with Side-Information" published at RecSys 2020.
  ☆15Updated 4 years ago
• mlarionov / machine_learning_POC
  The repository for various machine learning POC
  ☆28Updated 4 years ago
• sparsh-ai / reco-bandit
  Building recommender Systems using contextual bandit methods to address cold-start issue and online real-time learning
  ☆12Updated 4 years ago
• nikolakopoulos / Personalized-Diffusions
  Personalized Item Exploration Processes for Recommendation
  ☆15Updated 6 years ago
• sisinflab / KGFlex
  Official implementation of the paper "Sparse Feature Factorization for Recommender Systems with Knowledge Graphs"
  ☆20Updated 3 years ago
• skesiraju / BaySMM
  Model for learning document embeddings along with their uncertainties
  ☆36Updated last year
• rjagerman / sigir2020
  Accelerated Confergence for Counterfactual Learning to Rank
  ☆17Updated 3 years ago
• philipperemy / keras-snail-attention
  SNAIL Attention Block for Keras.
  ☆16Updated 5 years ago
• FlorianWilhelm / lda4rec
  🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.
  ☆42Updated 3 years ago
• karlhigley / ranking-metrics-torch
  Simple ranking metrics for PyTorch on CPU or GPU
  ☆15Updated 4 years ago
• umeshksingla / news-recommend-ire
  Stream Data based News Recommendation - Contextual Bandit Approach
  ☆48Updated 7 years ago
• that-recsys-lab / librec-auto
  Python wrapper for LibRec and other recommendation frameworks.
  ☆29Updated 2 years ago
• aiueola / wsdm2022-cascade-dr
  (WSDM2022 Best Paper Award Runner-Up) "Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model"
  ☆13Updated 2 years ago
• spotify-research / RIPS_KDD2020
  ☆19Updated 5 years ago
• cpapadimitriou / Click-Through-Rate-prediction
  ☆11Updated 6 years ago
• 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
• PanpanZheng / SAFE
  ☆35Updated 5 years ago
• ncu-dart / behavior2vec
  ☆20Updated 6 years ago
• usaito / unbiased-implicit-rec-real
  (WSDM2020) "Unbiased Recommender Learning from Missing-Not-At-Random Implicit Feedback"
  ☆30Updated 2 years ago