Alternatives and similar repositories for SIGIR_eCOM_2021_Data_Challenge_1st_Place

Users that are interested in SIGIR_eCOM_2021_Data_Challenge_1st_Place are comparing it to the libraries listed below

• ir-uam / EnsembleBandits
  Software for the experiments reported in the RecSys 2019 paper "Multi-Armed Recommender System Bandit Ensembles"
  ☆14Updated 5 years ago
• BestActionNow / Slate_Aware_Ranking
  The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23
  ☆16Updated 2 years ago
• andrebola / session-rec-effect
  Code to reproduce paper "Exploring Longitudinal Effects of Session-based Recommendations" in RecSys 2020
  ☆15Updated 2 years ago
• domkowald / FairRecSys
  Python scripts for studying bias in recommender systems
  ☆19Updated 2 years ago
• mmaher22 / iCV-SBR
  Benchmarking of Session-based Recommendation Approaches
  ☆30Updated 4 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 3 years ago
• qinjr / SCoRe
  SCoRe is a sequential recommendation model with dual side neighbor-based collaborative filtering. Implementation of our WSDM 2020 paper.
  ☆17Updated 5 years ago
• reczoo / RecBox
  A box of core libraries for recommendation model development
  ☆91Updated 8 months ago
• jin530 / SWalk
  This is the official code for the WSDM 2022 paper: 'S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks'.
  ☆34Updated last year
• lizli502 / SSE-PT
  ☆58Updated last year
• alibaba / tgin
  ☆29Updated 4 years ago
• Zziwei / Popularity-Bias-in-Dynamic-Recommendation
  Code for the KDD21 paper -- Popularity Bias in Dynamic Recommendation
  ☆17Updated 3 years ago
• noveens / sampling_cf
  [ WSDM '22 ] On Sampling Collaborative Filtering Datasets
  ☆20Updated 3 years ago
• HaoYang0123 / DESC
  ☆15Updated last year
• heyunh2015 / AttList
  data and code of AttList from CIKM2019
  ☆22Updated 5 years ago
• Zziwei / Fairness-in-Cold-Start-Recommendation
  Code for our SIGIR 2021 paper :'Fairness among New Items in Cold Start Recommender Systems'
  ☆20Updated 3 years ago
• wangjiachun0426 / StackRec
  ☆24Updated 4 years ago
• layer6ai-labs / TAFA
  Code for the RecSys'20 paper "TAFA: Two-headed Attention Fused Autoencoder for Context-Aware Recommendations"
  ☆19Updated 4 years ago
• zyli93 / InterHAt
  This is the repository for our WSDM 2020 publication: Interpretable Click-through Rate Prediction through Hierarchical Attention
  ☆40Updated 5 years ago
• nikolakopoulos / RecWalk
  Implementation of the RecWalk recommendation algorithm
  ☆25Updated last month
• microsoft / debiasing-item2item
  Implementation of "Debiasing Item-to-Item Recommendations With Small Annotated Datasets" (RecSys '20)
  ☆39Updated 4 years ago
• kilolgupta / Variational-Autoencoders-Collaborative-Filtering
  This repository contains python (using Keras) code implementing variational autoencoders for collaborative filtering on movielens and spo…
  ☆34Updated 3 years ago
• fajieyuan / recommendation_transfer_learning_pretraining
  Pre-training and Transfer learning papers for recommendation
  ☆18Updated last year
• jin530 / SLIST
  This is the official code for WWW 2021 paper "Session-aware Linear Item-Item Models for Session-based Recommendation"
  ☆33Updated last year
• heyunh2015 / ListContinuation_WSDM2020
  data and code of list continuation paper from WSDM 2020
  ☆25Updated 5 years ago
• usaito / dr-ranking-metric
  (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"
  ☆24Updated 2 years ago
• chenchongthu / ENSFM
  This is our implementation of ENSFM: Efficient Non-Sampling Factorization Machines (WWW 2020)
  ☆35Updated 4 years ago
• zepingyu0512 / sli_rec
  ☆73Updated 5 years ago
• sisinflab / Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization
  ☆21Updated 3 years ago
• JingsenZhang / Recbole-Debias
  RecBole-Debias is a toolkit built upon RecBole for reproducing and developing debiased recommendation algorithms.
  ☆40Updated 2 years ago