recsys

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models

⚡️ Implementation of TRON: Transformer Recommender using Optimized Negative-sampling, accepted at ACM RecSys 2023.

🤹 MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, accepted at ACM RecSys 2024.