Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
-
Updated
Nov 14, 2025 - Python
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
GRID: Generative Recommendation with Semantic IDs
Merlin Models is a collection of deep learning recommender system model reference implementations
🛍 A real-world e-commerce dataset for session-based recommender systems research.
RecTools - library to build Recommendation Systems easier and faster than ever before
[IJAIT 2021] MABWiser: Contextual Multi-Armed Bandits Library
A Tensorflow based implicit recommender system
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
This repository provides a comprehensive implementation of a deep neural network-based recommendation system similar to YouTube's. The repo is organized to incl
A general purpose recommender metrics library for fair evaluation.
2018 Spotify ACM RecSys Challenge 2'nd Place Solution
PyTorch implementations of Top-N recommendation, collaborative filtering recommenders.
GHRS: Graph-based hybrid recommendation system with application to movie recommendation
Recommendations at "Reasonable Scale": joining dataOps with recSys through dbt, Merlin and Metaflow
Post Processing Explanations Paths in Path Reasoning Recommender Systems with Knowledge Graphs
Add a description, image, and links to the recsys topic page so that developers can more easily learn about it.
To associate your repository with the recsys topic, visit your repo's landing page and select "manage topics."