generative-recommenders

Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).

GRID: Generative Recommendation with Semantic IDs

Examples for Recommenders - easy to train and deploy on accelerated infrastructure.

Unofficial implementation of generative recommender (GR) with Hierarchical Sequential Transduction Unit (HSTU) from Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations

HSTU-BLaIR: Lightweight Contrastive Text Embedding for Generative Recommender 🌱

GenerativeRecommenders is an open-source project dedicated to the reproducibility of cutting-edge research on generative models for recommendation systems. This repository aims to implement, benchmark, and provide insights into recent advances in generative recommenders, covering both foundational models and state-of-the-art innovations.