Gabriel de Souza Pereira Moreira

According to our database, Gabriel de Souza Pereira Moreira authored at least 29 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG.

Gabriel de Souza Pereira Moreira, Ronay Ak, Benedikt Schifferer, Mengyao Xu, Radek Osmulski, Even Oldridge

CoRR, 2024

NV-Retriever: Improving text embedding models with effective hard-negative mining.

Gabriel de Souza Pereira Moreira, Radek Osmulski, Mengyao Xu, Ronay Ak, Benedikt Schifferer, Even Oldridge

CoRR, 2024

2023

LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking.

Zhenrui Yue, Sara Rabhi, Gabriel de Souza Pereira Moreira, Dong Wang, Even Oldridge

CoRR, 2023

Investigating the effects of incremental training on neural ranking models.

Benedikt Schifferer, Wenzhe Shi, Gabriel de Souza Pereira Moreira, Even Oldridge, Chris Deotte, Gilberto Titericz, Kazuki Onodera, Praveen Dhinwa, Vishal Agrawal, Chris Green

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

Building and Deploying a Multi-Stage Recommender System with Merlin.

Karl Higley, Even Oldridge, Ronay Ak, Sara Rabhi, Gabriel de Souza Pereira Moreira

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Training and Deploying Multi-Stage Recommender Systems.

Ronay Ak, Benedikt Schifferer, Sara Rabhi, Gabriel de Souza Pereira Moreira

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Reducing the Friction for Building Recommender Systems with Merlin.

Sara Rabhi, Ronay Ak, Marc Romeijn, Gabriel de Souza Pereira Moreira, Benedikt D. Schifferer

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions.

Adam Lesnikowski, Gabriel de Souza Pereira Moreira, Sara Rabhi, Karl Byleen-Higley

CoRR, 2021

Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation.

Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Md Yasin Kabir, Even Oldridge

CoRR, 2021

Using Deep Learning to Win the Booking.com WSDM WebTour21 Challenge on Sequential Recommendations.

Benedikt Schifferer, Chris Deotte, Jean-Francois Puget, Gabriel de Souza Pereira Moreira, Gilberto Titericz, Jiwei Liu, Ronay Ak

Proceedings of the Workshop on Web Tourism co-located with the 14th ACM International WSDM Conference (WSDM 2021), 2021

Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation.

Gabriel de Souza Pereira Moreira, Sara Rabhi, Jeongmin Lee, Ronay Ak, Even Oldridge

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

End-to-End Session-Based Recommendation on GPU.

Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Benedikt Schifferer

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

Hybrid Session-based News Recommendation using Recurrent Neural Networks.

Gabriel de Souza Pereira Moreira, Dietmar Jannach, Adilson Marques da Cunha

CoRR, 2020

CHAMELEON: A Deep Learning Meta-Architecture for News Recommender Systems [Phd. Thesis].

Gabriel de Souza Pereira Moreira

CoRR, 2020

GPU Accelerated Feature Engineering and Training for Recommender Systems.

Benedikt Schifferer, Gilberto Titericz, Chris Deotte, Christof Henkel, Kazuki Onodera, Jiwei Liu, Bojan Tunguz, Even Oldridge, Gabriel de Souza Pereira Moreira, Ahmet Erdem

Proceedings of the RecSys Challenge '20: Proceedings of the Recommender Systems Challenge 2020, 2020

Why Are Deep Learning Models Not Consistently Winning Recommender Systems Competitions Yet?: A Position Paper.

Dietmar Jannach, Gabriel de Souza Pereira Moreira, Even Oldridge

Proceedings of the RecSys Challenge '20: Proceedings of the Recommender Systems Challenge 2020, 2020

2019

Contextual Hybrid Session-Based News Recommendation With Recurrent Neural Networks.

Gabriel de Souza Pereira Moreira, Dietmar Jannach, Adilson Marques da Cunha

IEEE Access, 2019

On the Importance of News Content Representation in Hybrid Neural Session-based Recommender Systems.

Gabriel de Souza Pereira Moreira, Dietmar Jannach, Adilson Marques da Cunha

Proceedings of the 7th International Workshop on News Recommendation and Analytics in conjunction with 13th ACM Conference on Recommender Systems, 2019

2018

News Session-Based Recommendations using Deep Neural Networks.

Gabriel de Souza Pereira Moreira, Felipe Ferreira, Adilson Marques da Cunha

Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems, 2018

CHAMELEON: a deep learning meta-architecture for news recommender systems.

Gabriel de Souza Pereira Moreira

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

2016

A Recommender System to tackle Enterprise Collaboration.

Gabriel de Souza Pereira Moreira, Gilmar Alves de Souza

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

2015

Comparing Offline and Online Recommender System Evaluations on Long-tail Distributions.

Gabriel de Souza Pereira Moreira, Gilmar Alves de Souza, Adilson Marques da Cunha

Proceedings of the Poster Proceedings of the 9th ACM Conference on Recommender Systems, 2015

A Software Framework for Identifying the Law of Demeter Violations.

Roberto Pepato Mellado, Gabriel de Souza Pereira Moreira, Adilson Marques da Cunha, Luiz Alberto Vieira Dias

Proceedings of the 12th International Conference on Information Technology, 2015

2014

Recognizing the Brazilian Signs Language Alphabet with Neural Networks over Visual 3D Data Sensor.

Gabriel de Souza Pereira Moreira, Gustavo Ravanhani Matuck, Osamu Saotome, Adilson Marques da Cunha

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2014, 2014

2011

METACOM: Um Método para Análise de Correlação entre Métricas de Produto de Software e Propensão a Manutenção.

Gabriel de Souza Pereira Moreira, Roberto Pepato Mellado, Adilson Marques da Cunha, Luiz Alberto Vieira Dias

Proceedings of the 10th Brazilian Symposium on Software Quality, 2011

2010

Software Product Measurement and Analysis in a Continuous Integration Environment.

Gabriel de Souza Pereira Moreira, Roberto Pepato Mellado, Denis Ávila Montini, Luiz Alberto Vieira Dias, Adilson Marques da Cunha

Proceedings of the Seventh International Conference on Information Technology: New Generations, 2010

ETL Process Model for a Manufacture Cells Production Line Integration.

Harison Pereira Bila de Carvalho, Danilo Battaglia, Denis Ávila Montini, Gabriel de Souza Pereira Moreira, Luiz Alberto Vieira Dias, Paulo Marcelo Tasinaffo

Proceedings of the Seventh International Conference on Information Technology: New Generations, 2010

2009

Design Patterns Reuse for Real Time Embedded Software Development.

Gabriel de Souza Pereira Moreira, Denis Ávila Montini, Daniela America da Silva, Felipe Rafael Motta Cardoso, Luiz Alberto Vieira Dias, Adilson Marques da Cunha

Proceedings of the Sixth International Conference on Information Technology: New Generations, 2009

Final Inspection for Design Pattern Homologation Using a Real Time Embedded Software in a Production Line.

Gabriel de Souza Pereira Moreira, Denis Ávila Montini, Danilo Douradinho Fernandes, Felipe Rafael Motta Cardoso, Luiz Alberto Vieira Dias, Adilson Marques da Cunha

Proceedings of the Sixth International Conference on Information Technology: New Generations, 2009