Alternatives and similar repositories for rerank:

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

• QingyaoAi / Deep-Listwise-Context-Model-for-Ranking-Refinement
  A Tensorflow implementation of the Deep Listwise Context Model (DLCM) for ranking refinement.
  ☆136Updated 2 years ago
• lpworld / PURS
  ☆44Updated 4 years ago
• alimamarankgroup / HPMN
  Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.
  ☆102Updated 4 years ago
• THUIR / PreHash
  ☆61Updated 7 months ago
• A-bone1 / ESAM
  Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)
  ☆58Updated 4 years ago
• gy910210 / exact-k-recommendation
  Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'
  ☆79Updated 5 years ago
• rec-agent / rec-rl
  ☆52Updated 5 years ago
• tttwwy / sim
  ☆61Updated 3 years ago
• Feiyang / MetaEmbedding
  Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"
  ☆98Updated 4 years ago
• stellaxu / DHAN
  DHAN code for SIGIR 2020
  ☆46Updated 4 years ago
• wuliwei9278 / SSE-PT
  Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared …
  ☆110Updated 4 years ago
• graytowne / rank_distill
  A PyTorch implementation of Ranking Distillation
  ☆88Updated 4 years ago
• alicogintel / SDM
  Sequential deep matching model for recommender system at Alibaba
  ☆204Updated 4 years ago
• allenjack / HGN
  Hierarchical Gating Networks for Sequential Recommendation
  ☆140Updated 3 years ago
• rec-agent / drr
  code for the paper "Personalized Context-Aware Re-ranking for E-commerce Recommendation Systems"
  ☆51Updated 6 years ago
• PengjieRen / RepeatNet
  ☆70Updated 5 years ago
• rpasricha / TransFM
  ☆83Updated 5 years ago
• gusuperstar / defer
  ☆51Updated 3 years ago
• qinjr / UBR4CTR
  UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.
  ☆78Updated 3 years ago
• guyulongcs / CIKM2020_DMT
  Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020
  ☆113Updated 4 years ago
• Atomu2014 / KNI
  Knowledge-enhanced Neighborhood Interaction model for recommendation
  ☆63Updated 4 years ago
• fajieyuan / WSDM2019-nextitnet
  Generative model for sequential recommendation based on Convolution Neural Networks (CNN))
  ☆111Updated 11 months ago
• MarcoMorik / Dynamic-Fairness
  Dynamic Fair Rankings
  ☆85Updated last year
• 99731 / M2GRL
  A demo code of KDD2020 paper "M2GRL: A Multi-task Multi-view Graph Representation Learning Framework for Web-scale Recommender Systems"
  ☆97Updated 4 years ago
• cstur4 / interaction-aware-factorization-machines
  Tensorflow implementation for Interaction-aware factorization machines
  ☆50Updated 5 years ago
• p768lwy3 / torecsys
  ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) pr…
  ☆103Updated 2 years ago
• xiangwang1223 / tree_enhanced_embedding_model
  TEM: Tree-enhanced Embedding Model for Explainable Recommendation, WWW2018
  ☆76Updated 5 years ago
• yhs968 / pyGRU4REC
  PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)
  ☆147Updated 6 years ago
• tebesu / CollaborativeMemoryNetwork
  Collaborative Memory Network for Recommendation Systems, SIGIR 2018
  ☆181Updated 3 years ago
• THUDM / ScenarioMeta
  Source code and dataset for KDD 2019 paper "Sequential Scenario-Specific Meta Learner for Online Recommendation"
  ☆81Updated 7 months ago