Alternatives and similar repositories for FPMC:

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

• spotify-research / RIPS_KDD2020
  ☆17Updated 4 years ago
• sisinflab / KGFlex
  Official implementation of the paper "Sparse Feature Factorization for Recommender Systems with Knowledge Graphs"
  ☆21Updated 2 years ago
• hyz20 / D2Co
  Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. In Recsys23.
  ☆10Updated last year
• irecsys / Tutorial_MSRS
  Tutorial for Multi-Stakeholder Recommender Systems
  ☆22Updated 3 years ago
• tanya34fish / fpmc
  Factorizing Personalized Markov Chains for Next-Basket Recommendation (C++ version)
  ☆10Updated 8 years ago
• JimLiu96 / MITGNN
  Repo for paper Basket Recommendation with Multi-Intent Translation Graph Neural Network
  ☆16Updated 3 years ago
• maciejkula / explicit-vs-implicit
  An experiment on explicit vs implicit feedback recommenders
  ☆25Updated 7 years ago
• olivierjeunen / dual-bandit-kdd-2020
  Source code for our paper "Joint Policy-Value Learning for Recommendation" published at KDD 2020.
  ☆22Updated last year
• frederickayala / session-based-recsys
  Tutorials on session-based recommender systems
  ☆11Updated 7 years ago
• criteo-research / blob
  Source code for our paper "BLOB: a probabilistic model for recommendation that combines organic and bandit signals" published at KDD 2020…
  ☆16Updated 2 years ago
• pmleffers / TIFUKNN
  ☆11Updated 3 years ago
• mariyahendriksen / awesome-intent-analysis
  Reading list for research topics in intent analysis.
  ☆15Updated last year
• stathwang / FOSSIL
  Fusing Similarity Models with Markov Chains for Sparse Sequential Recommendation in R and Python
  ☆15Updated 7 years ago
• david-cortes / ctpfrec
  Python implementation of "Content-based recommendations with poisson factorization", with some extensions
  ☆30Updated last year
• dferendo / RecommendationSystem
  ☆10Updated 4 years ago
• mabeckers / dlrm
  An implementation of a deep learning recommendation model (DLRM)
  ☆10Updated 4 years ago
• hanliu95 / DFM
  Discrete Factorization Machines
  ☆10Updated 6 years ago
• IlyaTrofimov / bb2vec
  This is the source code of the paper "Inferring Complementary Products from Baskets and Browsing Sessions"
  ☆11Updated 6 years ago
• BestActionNow / Slate_Aware_Ranking
  The implementation for our paper "Slate-Aware Ranking for Recommendation" accepted by WSDM.23
  ☆16Updated 2 years ago
• ppontisso / Extreme-Multi-Label-Classification
  Introduction Notebook to Extreme Multi-Label Classification problem (XML)
  ☆22Updated 6 years ago
• sisinflab / Reenvisioning-the-comparison-between-Neural-Collaborative-Filtering-and-Matrix-Factorization
  ☆21Updated 3 years ago
• criteo / CriteoDisplayCTR-TFOnSpark
  ☆27Updated 3 years ago
• olivierjeunen / pessimism-recsys-2021
  Source code for our paper "Pessimistic Decision-Making for Recommender Systems" published at ACM TORS, and RecSys 2021.
  ☆10Updated 2 years ago
• augustoqm / MCLRE
  Multi-Contextual Learning to Rank Events
  ☆23Updated 8 years ago
• dingjingtao / View_enhanced_ALS
  The implementation of VALS
  ☆10Updated 6 years ago
• criteo-research / tf-tile
  TF-Tile: an efficient sparse representation for real-valued data
  ☆13Updated 2 years ago
• FlorianWilhelm / lda4rec
  🧮 Extended Latent Dirichlet Allocation for Collaborative Filtering in Recommender Systems.
  ☆41Updated 2 years ago
• PGuti / Uplift
  About uplift modeling
  ☆30Updated 8 years ago
• karlhigley / ranking-metrics-torch
  Simple ranking metrics for PyTorch on CPU or GPU
  ☆14Updated 4 years ago
• keshavbhandari / Next-Basket-Recommendations
  This repository contains my research work on building the state of the art next basket recommendations using techniques such as Autoencod…
  ☆11Updated 4 years ago