HKBU-LAGAS/Awesome-Item-ID-Gen-RecSys

Awesome Generative Recommendation papers primarily focused on industry-level applications.

[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"

Minimal reproduction of OneRec

GenRec: Generative Recommender Systems with RQ-VAE semantic IDs, Transformer-based retrieval, and LLM integration. Built on PyTorch with distributed training support.

Differentiable Semantic ID for Generative Recommendation

This compendium reviews significant published research contributions and industrial engineering practices in leveraging Generative AI and LLMs for developing search, recommender, personalization, and question-answering systems. It aims to cover the entire spectrum of research and practices

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

RSTutorials: A Curated List of Must-read Papers on Recommender System.