Gabriel de Souza Pereira Moreira

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 23

Top Topics

News Recommendation

Gpu Accelerated

Top Venues

RecSys Challenge

Publications

Gabriel de Souza Pereira Moreira, Radek Osmulski, Mengyao Xu, Ronay Ak, Benedikt Schifferer, Even Oldridge
NV-Retriever: Improving text embedding models with effective hard-negative mining. CoRR (2024)
Zhenrui Yue, Sara Rabhi, Gabriel de Souza Pereira Moreira, Dong Wang, Even Oldridge
LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking. CoRR (2023)
Benedikt Schifferer, Wenzhe Shi, Gabriel de Souza Pereira Moreira, Even Oldridge, Chris Deotte, Gilberto Titericz, Kazuki Onodera, Praveen Dhinwa, Vishal Agrawal, Chris Green
Investigating the effects of incremental training on neural ranking models. RecSys (2023)
Sara Rabhi, Ronay Ak, Marc Romeijn, Gabriel de Souza Pereira Moreira, Benedikt D. Schifferer
Reducing the Friction for Building Recommender Systems with Merlin. KDD (2022)
Ronay Ak, Benedikt Schifferer, Sara Rabhi, Gabriel de Souza Pereira Moreira
Training and Deploying Multi-Stage Recommender Systems. RecSys (2022)
Karl Higley, Even Oldridge, Ronay Ak, Sara Rabhi, Gabriel de Souza Pereira Moreira
Building and Deploying a Multi-Stage Recommender System with Merlin. RecSys (2022)
Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Benedikt Schifferer
End-to-End Session-Based Recommendation on GPU. RecSys (2021)
Gabriel de Souza Pereira Moreira, Sara Rabhi, Jeong Min Lee, Ronay Ak, Even Oldridge
Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation. RecSys (2021)
Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Md Yasin Kabir, Even Oldridge
Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation. CoRR (2021)
Adam Lesnikowski, Gabriel de Souza Pereira Moreira, Sara Rabhi, Karl Byleen-Higley
Synthetic Data and Simulators for Recommendation Systems: Current State and Future Directions. CoRR (2021)
Benedikt Schifferer, Chris Deotte, Jean-Francois Puget, Gabriel de Souza Pereira Moreira, Gilberto Titericz, Jiwei Liu, Ronay Ak
Using Deep Learning to Win the Booking.com WSDM WebTour21 Challenge on Sequential Recommendations. WebTour@WSDM (2021)
Benedikt Schifferer, Gilberto Titericz, Chris Deotte, Christof Henkel, Kazuki Onodera, Jiwei Liu, Bojan Tunguz, Even Oldridge, Gabriel de Souza Pereira Moreira, Ahmet Erdem
GPU Accelerated Feature Engineering and Training for Recommender Systems. RecSys Challenge (2020)
Dietmar Jannach, Gabriel de Souza Pereira Moreira, Even Oldridge
Why Are Deep Learning Models Not Consistently Winning Recommender Systems Competitions Yet?: A Position Paper. RecSys Challenge (2020)
Gabriel de Souza Pereira Moreira
CHAMELEON: A Deep Learning Meta-Architecture for News Recommender Systems [Phd. Thesis]. CoRR (2020)
Gabriel de Souza Pereira Moreira, Dietmar Jannach, Adilson Marques da Cunha
Hybrid Session-based News Recommendation using Recurrent Neural Networks. CoRR (2020)
Gabriel de Souza Pereira Moreira, Dietmar Jannach, Adilson Marques da Cunha
On the Importance of News Content Representation in Hybrid Neural Session-based Recommender Systems. CoRR (2019)
Gabriel de Souza Pereira Moreira, Dietmar Jannach, Adilson Marques da Cunha
On the Importance of News Content Representation in Hybrid Neural Session-based Recommender Systems. INRA@RecSys (2019)
Gabriel de Souza Pereira Moreira, Dietmar Jannach, Adilson Marques da Cunha
Contextual Hybrid Session-based News Recommendation with Recurrent Neural Networks. CoRR (2019)
Gabriel de Souza Pereira Moreira, Dietmar Jannach, Adilson Marques da Cunha
Contextual Hybrid Session-Based News Recommendation With Recurrent Neural Networks. IEEE Access 7 (2019)
Gabriel de Souza Pereira Moreira, Felipe Ferreira, Adilson Marques da Cunha
News Session-Based Recommendations using Deep Neural Networks. DLRS@RecSys (2018)
Gabriel de Souza Pereira Moreira, Felipe Ferreira, Adilson Marques da Cunha
News Session-Based Recommendations using Deep Neural Networks. CoRR (2018)
Gabriel de Souza Pereira Moreira
CHAMELEON: a deep learning meta-architecture for news recommender systems. RecSys (2018)
Gabriel de Souza Pereira Moreira, Gilmar Alves de Souza
A Recommender System to tackle Enterprise Collaboration. RecSys (2016)
Roberto Pepato Mellado, Gabriel de Souza Pereira Moreira, Adilson Marques da Cunha, Luiz Alberto Vieira Dias
A Software Framework for Identifying the Law of Demeter Violations. ITNG (2015)
Gabriel de Souza Pereira Moreira, Gilmar Alves de Souza, Adilson Marques da Cunha
Comparing Offline and Online Recommender System Evaluations on Long-tail Distributions. RecSys Posters (2015)
Gabriel de Souza Pereira Moreira, Gustavo Ravanhani Matuck, Osamu Saotome, Adilson Marques da Cunha
Recognizing the Brazilian Signs Language Alphabet with Neural Networks over Visual 3D Data Sensor. IBERAMIA (2014)
Gabriel de Souza Pereira Moreira, Roberto Pepato Mellado, Adilson Marques da Cunha, Luiz Alberto Vieira Dias
METACOM: Um Método para Análise de Correlação entre Métricas de Produto de Software e Propensão a Manutenção. SBQS (2011)
Harison Pereira Bila de Carvalho, Danilo Battaglia, Denis Ávila Montini, Gabriel de Souza Pereira Moreira, Luiz Alberto Vieira Dias, Paulo Marcelo Tasinaffo
ETL Process Model for a Manufacture Cells Production Line Integration. ITNG (2010)
Gabriel de Souza Pereira Moreira, Roberto Pepato Mellado, Denis Ávila Montini, Luiz Alberto Vieira Dias, Adilson Marques da Cunha
Software Product Measurement and Analysis in a Continuous Integration Environment. ITNG (2010)
Gabriel de Souza Pereira Moreira, Denis Ávila Montini, Daniela America da Silva, Felipe Rafael Motta Cardoso, Luiz Alberto Vieira Dias, Adilson Marques da Cunha
Design Patterns Reuse for Real Time Embedded Software Development. ITNG (2009)
Gabriel de Souza Pereira Moreira, Denis Ávila Montini, Danilo Douradinho Fernandes, Felipe Rafael Motta Cardoso, Luiz Alberto Vieira Dias, Adilson Marques da Cunha
Final Inspection for Design Pattern Homologation Using a Real Time Embedded Software in a Production Line. ITNG (2009)