[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"

Build a real-time recommendation engine for an e-commerce website leveraging SageMaker Feature Store as a core component of the solution.

Materials for a 2-day instructor led course on applying machine learning

Building two tower models with Spotify data in GCP

An open source python library for automated feature engineering

TensorFlow Recommenders is a library for building recommender system models using TensorFlow.

two-step recommender system implemented using tensorflow recommender

We write sample code for two tower models for retrieval and add RLHF/RLAIF style alignment with a ranking model to make the retrieval more aligned with the ranking model on top

NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference i…

Content-Based Image Retrieval (CBIR) using Faiss (Facebook) and many different feature extraction methods ( VGG16, ResNet50, Local Binary Pattern, RGBHistogram)

Enhancing Recommendation Systems with Large Language Models (RAG - LangChain - OpenAI)

recommender system using OpenAI API

A Deep Learning Based Context-Aware Recommendation Library

A unified, comprehensive and efficient recommendation library

UniRec is an easy-to-use, lightweight, and scalable implementation of recommender systems. Its primary objective is to enable users to swiftly construct a comprehensive ecosystem of recommenders us…

RAG/LLM-based movie recommendation system with

Code for Our EMNLP (Industry) 2023 paper "LLM4Vis: Explainable Visualization Recommendation using ChatGPT"

[WWW'2024] "RLMRec: Representation Learning with Large Language Models for Recommendation"

[SIGIR 2024 perspective] The implementation of paper "On Generative Agents in Recommendation"

OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems

Bridging LLM and Recommender System.

The code for the paper "TiM4Rec: An Efficient Sequential Recommendation Model Based on Time-Aware Structured State Space Duality Model"

KwaiRec: A Fully-observed Dataset for Recommender Systems.

A Toolbox for MultiModal Recommendation. Integrating 10+ Models...