[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
- Updated
Sep 22, 2025 - Python
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
GRID: Generative Recommendation with Semantic IDs
[Pytorch] The repo contains the code for "FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets"
We introduce the direct document relevance optimization (DDRO) for training a pairwise ranker model. DDRO encourages the model to focus on document-level relevance during generation
Unofficial implementation of paper "Recommender Systems with Generative Retrieval" (NeurIPS'23)
🛡️ Build a lightweight Intrusion Detection System for Linux with Suricata, offering real-time monitoring, customizable rules, and Python analysis for enhanced security.
# 🔍 Semantic Article RecommenderThis project offers a simple way to find articles that are similar in meaning. It uses advanced techniques like Hugging Face embeddings and FAISS for efficient searching. 🛠️
Add a description, image, and links to the semantic-id topic page so that developers can more easily learn about it.
To associate your repository with the semantic-id topic, visit your repo's landing page and select "manage topics."