Alternatives and similar repositories for ULTRA_pytorch

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

• HarrieO / 2021-SIGIR-plackett-luce
  ☆32Updated 3 years ago
• ChuXiaokai / baidu_ultr_dataset
  an unbias-learning-to-rank dataset of Baidu
  ☆65Updated last year
• msnews / MIND
  Microsoft News Dataset
  ☆122Updated 5 years ago
• ULTR-Community / ULTRA
  Unbiased Learning To Rank Algorithms (ULTRA)
  ☆291Updated 2 years ago
• rjagerman / pytorchltr
  Learning to Rank in PyTorch
  ☆91Updated last year
• QingyaoAi / Hierarchical-Embedding-Model-for-Personalized-Product-Search
  An implementation of the Hierarchical Embedding Model (HEM) for personalized product search
  ☆42Updated 5 years ago
• reczoo / RecBox
  A box of core libraries for recommendation model development
  ☆91Updated last year
• finn-no / recsys_slates_dataset
  FINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) f…
  ☆54Updated 2 years ago
• nijianmo / recsys_justification
  ☆65Updated 5 years ago
• pl8787 / SetRank
  Implementation of SetRank in SIGIR 2020
  ☆50Updated 5 years ago
• yihong-chen / lambda-opt
  Pytorch implementation of λOpt: Learn to Regularize Recommender Models in Finer Levels, KDD 2019
  ☆53Updated 5 years ago
• MarcoMorik / Dynamic-Fairness
  Dynamic Fair Rankings
  ☆87Updated 2 years ago
• PengjieRen / RepeatNet
  ☆71Updated 5 years ago
• alimamarankgroup / HPMN
  Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.
  ☆100Updated 5 years ago
• fajieyuan / recommendation_transfer_learning_pretraining
  Pre-training and Transfer learning papers for recommendation
  ☆18Updated last year
• QingyaoAi / Unbiased-Learning-to-Rank-with-Unbiased-Propensity-Estimation
  This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to ran…
  ☆89Updated 2 years ago
• CharlieMat / PivotCVAE
  This is the implementation code for the WWW2021 paper "Variation Control and Evaluation for Generative Slate Recommendation"
  ☆15Updated 4 years ago
• ptzhangAlg / RecAlg
  ☆31Updated 2 years ago
• wuga214 / NCE_Projected_LRec
  Scalable Recommendation Algorithms
  ☆35Updated 5 years ago
• ylongqi / unbiased-offline-recommender-evaluation
  ☆35Updated 7 years ago
• HarrieO / 2021wsdm-unifying-LTR
  ☆18Updated 2 years ago
• lpworld / PURS
  ☆46Updated 4 years ago
• beta-team / beta-recsys
  Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems
  ☆168Updated last week
• rjagerman / sigir2020
  Accelerated Confergence for Counterfactual Learning to Rank
  ☆17Updated 3 years ago
• DongHande / AutoDebias
  This is the official pytorch implementation of AutoDebias, an automatic debiasing method for recommendation.
  ☆108Updated 3 years ago
• sisinflab / amlrecsys-tutorial
  Tutorial by Vito Walter Anelli, Yashar Deldjoo, Tommaso Di Noia and Felice Antonio Merra about Adversarial Machine Learning in Recommende…
  ☆25Updated 4 years ago
• jingtaozhan / RepCONC
  WSDM'22 Best Paper: Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
  ☆120Updated last year
• THUwangcy / SLRC
  WWW'2019: Modeling Item-Specific Temporal Dynamics of Repeat Consumption for Recommender Systems
  ☆35Updated 6 years ago
• utahIRlab / ESRT
  A collection of product search embedding models
  ☆19Updated 5 years ago
• QingyaoAi / Explainable-Product-Search-with-a-Dynamic-Relation-Embedding-Model
  ☆21Updated 4 years ago