tohtsky / myFM

Related projects: ⓘ

• tohtsky / irspack
  Train, evaluate, and optimize implicit feedback-based recommender systems.
  ☆28Updated last year
• usaito / recsys2021-tutorial
  https://sites.google.com/cornell.edu/recsys2021tutorial
  ☆49Updated 2 years ago
• labdac / Meta-Prod2Vec
  Repository for experiments with MetaProd2Vec and related algorithms.
  ☆58Updated 5 years ago
• Fengrui / LinearUCB-python
  Linear UCB bandit learning algorithm L Li(2010) python code
  ☆18Updated 9 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
• layer6ai-labs / RecSys2020
  ☆13Updated this week
• NVIDIA-Merlin / publications
  ☆61Updated 2 weeks ago
• logicai-io / recsys2019
  ☆94Updated last year
• usaito / dr-ranking-metric
  (RecSys2020) "Doubly Robust Estimator for Ranking Metrics with Post-Click Conversions"
  ☆23Updated last year
• makgyver / rectorch
  rectorch is a pytorch-based framework for state-of-the-art top-N recommendation
  ☆152Updated 3 years ago
• beta-team / beta-recsys
  Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems
  ☆162Updated 4 months ago
• KarypisLab / SLIM
  High-performance implementation of SLIM-based approaches for Top-N recommendation
  ☆112Updated 2 years ago
• ilya-shenbin / RecVAE
  The official PyTorch implementation of the paper "RecVAE: A New Variational Autoencoder for Top-N Recommendations with Implicit Feedback"
  ☆106Updated 3 months ago
• david-cortes / cmfrec
  (Python, R, C) Collective (multi-view/multi-way) matrix factorization, including cold-start functionality (recommender systems, imputatio…
  ☆112Updated this week
• BaseModelAI / booking-challenge
  ☆40Updated 3 years ago
• criteo-research / bandit-reco
  ☆50Updated 3 years ago
• datamllab / AutoRec
  ☆49Updated last year
• rjagerman / pytorchltr
  Learning to Rank in PyTorch
  ☆76Updated 8 months ago
• ktsukuda / MF_PyTorch
  Matrix Factorization with PyTorch
  ☆11Updated 4 years ago
• finn-no / recsys_slates_dataset
  FINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) f…
  ☆52Updated last year
• RandolphVI / Next-Basket-Recommendation
  About Next Basket Recommendations Based on Neural Network.
  ☆48Updated 4 years ago
• evfro / recsys19_hybridsvd
  Accompanying code for reproducing experiments from the HybridSVD paper. Preprint is available at https://arxiv.org/abs/1802.06398.
  ☆25Updated 5 years ago
• evfro / HyperbolicRecommenders
  Accompanying code for the paper Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks, accepted at ACM RecSys 2020.
  ☆35Updated 4 years ago
• ylongqi / unbiased-offline-recommender-evaluation
  ☆33Updated 5 years ago
• bogliosimone / similaripy
  Fast Python KNN-Similarity algorithms for Collaborative Filtering models in Recommender System and others.
  ☆53Updated 2 years ago
• spotify-research / RIPS_KDD2020
  ☆17Updated 4 years ago
• usaito / CFML-papers
  Summaries and notes on CounterFactual Machine Learning papers
  ☆19Updated 5 years ago
• david-cortes / hpfrec
  Python implementation of 'Scalable Recommendation with Hierarchical Poisson Factorization'.
  ☆79Updated last month
• mpkato / interleaving
  A python library for conducting interleaving, which compares two or multiple rankers based on observed user clicks by interleaving their …
  ☆121Updated 2 years ago
• yuanlonghao / reranking
  To implement reranking techniques for recommendation system and search engine.
  ☆18Updated 2 years ago