LauraBowenHe / Recsys-Spotify-2018-challenge

Related projects: ⓘ

• hojinYang / spotify_recSys_challenge_2018
  2018 Spotify ACM RecSys Challenge 2'nd Place Solution
  ☆66Updated 3 years ago
• zakharovas / RecSys2018
  MIPT_MSU team RecSys Challenge 2018 solution
  ☆10Updated 6 years ago
• domkowald / FairRecSys
  Python scripts for studying bias in recommender systems
  ☆19Updated last year
• rn5l / rsc18
  Publication of the code we used in the RecSys Challenge 2018.
  ☆12Updated 6 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.
  ☆14Updated 3 years ago
• stathwang / FOSSIL
  Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation in R and Python
  ☆14Updated 6 years ago
• criteo-research / bandit-reco
  ☆50Updated 3 years ago
• layer6ai-labs / RecSys2018
  1'st Place Approach by Layer6 AI to the 2018 ACM RecSys Challenge
  ☆84Updated 8 months ago
• fridsamt / Explainable-Recommendation
  ☆11Updated this week
• hojinYang / tfrs-movierec-serving
  Packaged movie recommenders as REST API using tensorflow-recommenders
  ☆22Updated 3 years ago
• labdac / Meta-Prod2Vec
  Repository for experiments with MetaProd2Vec and related algorithms.
  ☆58Updated 5 years ago
• wuga214 / NCE_Projected_LRec
  Scalable Recommendation Algorithms
  ☆33Updated 4 years ago
• FlorianWilhelm / mlstm4reco
  Multiplicative LSTM for Recommendations
  ☆20Updated 6 years ago
• olivierjeunen / EARS-recsys-2021
  Source code for our paper "Top-K Contextual Bandits with Equity of Exposure" published at RecSys 2021.
  ☆16Updated 3 years ago
• usaito / recsys2021-tutorial
  https://sites.google.com/cornell.edu/recsys2021tutorial
  ☆49Updated 2 years ago
• samlobel / RaCT_CF
  Ranking-Critical Training for Collaborative Filtering
  ☆36Updated 3 months ago
• noveens / svae_cf
  [ WSDM '19 ] Sequential Variational Autoencoders for Collaborative Filtering
  ☆41Updated 3 years ago
• MengtingWan / marketBias
  data and source code for "Addressing Marketing Bias in Product Recommendations" WSDM'20
  ☆39Updated 4 years ago
• sainathadapa / spotify-sequential-skip-prediction
  7th place solution to the WSDM Cup 2019 - Spotify - Sequential Skip Prediction Challenge
  ☆27Updated 5 years ago
• franckjay / TorchEASE
  Implementation of Embarrassingly Shallow Autoencoders (Harald Steck) in PyTorch
  ☆33Updated 11 months ago
• dingjingtao / View_enhanced_ALS
  The implementation of VALS
  ☆10Updated 6 years ago
• spotify-research / cosernn
  Code for the paper "Contextual and Sequential User Embeddings for Large-Scale Music Recommendation".
  ☆33Updated 3 years ago
• deezer / carousel_bandits
  Source code and data from the RecSys 2020 article "Carousel Personalization in Music Streaming Apps with Contextual Bandits" by W. Bendad…
  ☆54Updated 3 years ago
• maciejkula / recommender_datasets
  A common format and repository for various recommender datasets.
  ☆41Updated 4 years ago
• federicoparroni / recsys2019
  The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
  ☆28Updated 5 months ago
• VasiliyRubtsov / recsys2018
  ☆67Updated 6 years ago
• Guzpenha / ConvRecProbingBERT
  Code for the paper "What does BERT know about books, movies and music? Probing BERT for Conversational Recommendation" at RecSys'20
  ☆22Updated 2 years ago
• animeshgoyal9 / Multi-Armed-Bandit-for-cold-user-in-Recommendation-System
  ☆27Updated 5 years ago
• cydonia999 / variational-autoencoders-for-collaborative-filtering-pytorch
  Implementation of variational autoencoders for collaborative filtering in PyTorch
  ☆24Updated 5 years ago
• fabioiuri / DRecPy
  Deep Recommenders with Python: A Python library for building Deep Learning based Recommender Systems
  ☆28Updated 3 years ago