Alternatives and similar repositories for FMCTS

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

• rec-agent / rec-rl
  ☆55Updated 6 years ago
• gy910210 / exact-k-recommendation
  Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'
  ☆79Updated 5 years ago
• rank2rec / rerank
  ☆82Updated 6 years ago
• collinprather / SlateQ
  A comparison of Google SlateQ algorithm with traditional Reinforcement Learning algorithms
  ☆37Updated 2 years ago
• xinshi-chen / GenerativeAdversarialUserModel
  Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"
  ☆130Updated 6 years ago
• alimamarankgroup / HPMN
  Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.
  ☆101Updated 5 years ago
• cheungdaven / autosvdpp
  Implementation of AutoSVD++ (SIGIR 2017)
  ☆15Updated 7 years ago
• LitoWang / recommendation_papers
  paper collection for recommendation aspet
  ☆38Updated 4 years ago
• MarcoMorik / Dynamic-Fairness
  Dynamic Fair Rankings
  ☆87Updated 2 years ago
• graytowne / rank_distill
  A PyTorch implementation of Ranking Distillation
  ☆90Updated 5 years ago
• JianGuanTHU / IRecGAN
  Implementation for our paper in NeurIPS 2019
  ☆48Updated 5 years ago
• stellaxu / DHAN
  DHAN code for SIGIR 2020
  ☆46Updated 5 years ago
• QingyaoAi / Deep-Listwise-Context-Model-for-Ranking-Refinement
  A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.
  ☆137Updated 2 years ago
• gusuperstar / defer
  ☆52Updated 4 years ago
• Atomu2014 / KNI
  Knowledge-enhanced Neighborhood Interaction model for recommendation
  ☆62Updated 5 years ago
• easezyc / MetaHeac
  This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertisin…
  ☆56Updated 3 years ago
• zhijie-ai / Top-K-Off-Policy-Correction-REINFORCE
  ☆25Updated 4 years ago
• PengjieRen / RepeatNet
  ☆71Updated 5 years ago
• familyld / DeepCF
  DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System
  ☆66Updated 3 years ago
• Jinjiarui / rl4rs-papers
  A collection of research and survey papers of reforcement learning (RL) based recommender system techniques.
  ☆72Updated 5 years ago
• evison / JRL
  Code for paper: Joint Representation Learning for Top-N Recommendation with Heterogenous Information Sources
  ☆48Updated 4 years ago
• js05212 / CDL
  Official Code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD
  ☆72Updated 3 years ago
• rec-agent / drr
  code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"
  ☆52Updated 6 years ago
• PierreGe / RL-movie-recommender
  The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the proble…
  ☆119Updated 5 years ago
• BartyzalRadek / contextual-bandits-recommender
  Implementing LinUCB and HybridLinUCB in Python.
  ☆49Updated 7 years ago
• microsoft / debiasing-item2item
  Implementation of "Debiasing Item-to-Item Recommendations With Small Annotated Datasets" (RecSys '20)
  ☆39Updated 4 years ago
• cheungdaven / FML
  Implementation of the IEEE TII paper titled "Unraveling Metric Vector Spaces withFactorization for Recommendation"
  ☆93Updated 5 years ago
• guyulongcs / CIKM2020_DMT
  Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020
  ☆115Updated 4 years ago
• KKeishiro / Yahoo_recommendation
  Yahoo! news article recommendation system by linUCB
  ☆112Updated 7 years ago
• THUIR / RuleRec
  ☆59Updated 6 years ago