Machine learning microservice for library management system project
Book recommendation system built from scratch and deployed with FastAPI. Includes subject and behavioral similarity as well and cold and warm users recommendations.
Course on Recommender Systems conducted at the Faculty of Computer Science, National Research University - Higher School of Economics. Academic year 2024/2025.
Repository hosting code for "Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations" (https://arxiv.org/abs/2402.17152).
The official code of Recsys'25 paper 'USB-Rec: An Effective Framework for Improving Conversational Recommendation Capability of Large Language Model'
Cold-start como tarefa de completude em grafos de conhecimento: uma abordagem via encoders rasos de propagação. Dissertação apresentada para conclusão do mestrado em ciência da computação no PPGCC da UFMG.
A Comprehensive Framework for Building End-to-End Recommendation Systems with State-of-the-Art Models
A Lighting Pytorch Framework for Recommendation Models, Easy-to-use and Easy-to-extend.
This repository provides a comprehensive implementation of a deep neural network-based recommendation system similar to YouTube's. The repo is organized to incl
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
GRID: Generative Recommendation with Semantic IDs
This hosts the code of the WWW 2025 full paper "Joint Evaluation of Fairness and Relevance in Recommender Systems with Pareto Frontier"
Code accompanying ACM TORS'24 paper "Evaluation Measures of Individual item Fairness for Recommender Systems: A Critical Study" (Accepted in 2023)
This hosts the code and appendix of the RecSys 2025 short paper "Stairway to Fairness: Connecting Group and Individual Fairness"
Survey: A collection of AWESOME papers and resources on the large language model (LLM) related recommender system topics.
(TheWebConf'25) Official Library for the Paper "Legommenders: A Comprehensive Content-Based Recommendation Library with LLM Support"
GraphSnapShot: Caching Local Structure for Fast Graph Learning [Efficient ML System]
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