RecTools - library to build Recommendation Systems easier and faster than ever before
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Updated
Jul 16, 2024 - Python
RecTools - library to build Recommendation Systems easier and faster than ever before
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
Repository hosting code used to reproduce results in "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152, ICML'24).
Collaborative and hybrid recommendation systems
Web application about recommandation system, integrate and deploy on Azure
Compilation of high-profile real-world examples of failed machine learning projects
🛍 A real-world e-commerce dataset for session-based recommender systems research.
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
🤹 MultiTRON: Pareto Front Approximation for Multi-Objective Session-Based Recommender Systems, submitted to ACM RecSys 2024.
MovieGPT: A RAG, Gen AI application for Movie Recommendations
This hosts the code and appendix of the SIGIR 2024 full paper "Can We Trust Recommender System Fairness Evaluation: The Role of Fairness and Relevance"
I want to crawl imdb movie data and want to recommend movies based on various features of individual movies
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
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