Alternatives and similar repositories for PURS

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

• rank2rec / rerank
  ☆83Updated 6 years ago
• wuliwei9278 / SSE-PT
  Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared …
  ☆112Updated 5 years ago
• rec-agent / rec-rl
  ☆54Updated 6 years ago
• yhs968 / pyGRU4REC
  PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)
  ☆149Updated 6 years ago
• PengjieRen / RepeatNet
  ☆71Updated 5 years ago
• rpasricha / TransFM
  ☆83Updated 6 years ago
• layer6ai-labs / DropoutNet
  Code for the NeurIPS'17 paper "DropoutNet: Addressing Cold Start in Recommender Systems"
  ☆180Updated 2 years ago
• qinjr / UBR4CTR
  UBR4CTR is the code for our proposed User Behavior Retrieval for CTR Prediction framework in SIGIR 2020.
  ☆80Updated 4 years ago
• gy910210 / exact-k-recommendation
  Code for paper 'Exact-K Recommendation via Maximal Clique Optimization'
  ☆79Updated 5 years ago
• Feiyang / MetaEmbedding
  Codes for our SIGIR-2019 paper "Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings"
  ☆100Updated 5 years ago
• graytowne / caser_pytorch
  A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)
  ☆272Updated 4 years ago
• graytowne / caser
  A Matlab implementation of Convolutional Sequence Embedding Recommendation Model (Caser)
  ☆77Updated 7 years ago
• tttwwy / sim
  ☆68Updated 4 years ago
• alimamarankgroup / HPMN
  Lifelong sequential modeling for user response prediction. A comprehensive evaluation framework for our SIGIR 2019 paper.
  ☆100Updated 5 years ago
• allenjack / HGN
  Hierarchical Gating Networks for Sequential Recommendation
  ☆143Updated 4 years ago
• guyulongcs / CIKM2020_DMT
  Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020
  ☆114Updated 5 years ago
• lijingsdu / sessionRec_NARM
  ☆134Updated 8 years ago
• A-bone1 / ESAM
  Code for the paper "ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance" (SIGIR2020)
  ☆58Updated 5 years ago
• THUIR / PreHash
  ☆61Updated last year
• fajieyuan / WSDM2019-nextitnet
  Generative model for sequential recommendation based on Convolution Neural Networks (CNN))
  ☆114Updated last year
• chenchongthu / ENSFM
  This is our implementation of ENSFM: Efficient Non-Sampling Factorization Machines (WWW 2020)
  ☆35Updated 5 years ago
• stellaxu / DHAN
  DHAN code for SIGIR 2020
  ☆44Updated 5 years ago
• linzh92 / DeepICF
  TensorFlow Implementation of Deep Item-based Collaborative Filtering Model for Top-N Recommendation
  ☆100Updated 2 years ago
• gtshs2 / Collaborative_Deep_Learning
  Collaborative Deep Learning (CDL)
  ☆58Updated 7 years ago
• criteo-research / CausE
  Code for the Recsys 2018 paper entitled Causal Embeddings for Recommandation.
  ☆248Updated 7 years ago
• evison / JRL
  Code for paper: Joint Representation Learning for Top-N Recommendation with Heterogenous Information Sources
  ☆48Updated 4 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…
  ☆106Updated 3 years ago
• reczoo / RecBox
  A box of core libraries for recommendation model development
  ☆91Updated last year
• chenboability / CFM
  ☆51Updated 6 years ago
• LibRerank-Community / LibRerank
  LibRerank is a toolkit for re-ranking algorithms. There are a number of re-ranking algorithms, such as PRM, DLCM, GSF, miDNN, SetRank, EG…
  ☆264Updated 3 years ago