Recsys
High performance distributed framework for training deep learning recommendation models based on PyTorch.
This is a repository of public data sources for Recommender Systems (RS).
Papers related to the Recommender System from KDD 2021 (including the links for Paper PDF and Github Code)
implement bayesian personalized ranking by tensorflow
Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020
Enabling pure data parallel training of DLRM via caching and prefetching
This repository collects debiasing methods for recommendation
FINN.no Slate Dataset for Recommender Systems. A dataset containing all interactions (viewed items + response (clicked item / no click) for users over a longer time horizon.
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
Hash Embedding code for the paper "Hash Embeddings for Efficient Word Representations"
PyTorch implementation of Hash Embeddings (NIPS 2017). Submission to the NIPS Implementation Challenge.
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
Code for the SIGIR20 paper -- Recommendation for New Users and New Items via Randomized Training and Mixture-of-Experts Transformation
Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
Unbiased Learning To Rank Algorithms (ULTRA)
A toolkit of Reinforcement Learning based Recommendation (RL4Rec)
Code for our WSDM 2022 paper titled "The Datasets Dilemma: How Much Do We Really Know About Recommendation Datasets?"
AutoLossGen: Automatic Loss Function Generation for Recommender Systems
Pytorch domain library for recommendation systems
Fast Differentiable Sorting and Ranking
A Spotify song recommendation engine built with the power of graph analytics.