Gabriel de Souza Pereira Moreira
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
5
Active years
2015–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | ViDoRe V3: A Comprehensive Evaluation of Retrieval Augmented Generation in Complex Real-World Scenarios. | Antnio Loison, Quentin Mac, Antoine Edy, Victor Xing, Tom Balough, Gabriel de Souza Pereira Moreira, Bo Liu, Manuel Faysse, Cline Hudelot, Gautier Viaud |
| 2025 | CIKM | Improving Text Embedding Models with Positive-aware Hard-negative Mining. | Gabriel de Souza Pereira Moreira, Radek Osmulski, Mengyao Xu, Ronay Ak, Benedikt Schifferer, Even Oldridge |
| 2023 | RecSys | 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 |
| 2022 | KDD | Reducing the Friction for Building Recommender Systems with Merlin. | Sara Rabhi, Ronay Ak, Marc Romeijn, Gabriel de Souza Pereira Moreira, Benedikt D. Schifferer |
| 2022 | RecSys | Training and Deploying Multi-Stage Recommender Systems. | Ronay Ak, Benedikt Schifferer, Sara Rabhi, Gabriel de Souza Pereira Moreira |
| 2022 | RecSys | Building and Deploying a Multi-Stage Recommender System with Merlin. | Karl Higley, Even Oldridge, Ronay Ak, Sara Rabhi, Gabriel de Souza Pereira Moreira |
| 2021 | RecSys | End-to-End Session-Based Recommendation on GPU. | Gabriel de Souza Pereira Moreira, Sara Rabhi, Ronay Ak, Benedikt Schifferer |
| 2021 | RecSys | Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation. | Gabriel de Souza Pereira Moreira, Sara Rabhi, Jeongmin Lee, Ronay Ak, Even Oldridge |
| 2021 | WSDM | 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 |
| 2020 | RecSys | Why Are Deep Learning Models Not Consistently Winning Recommender Systems Competitions Yet?: A Position Paper. | Dietmar Jannach, Gabriel de Souza Pereira Moreira, Even Oldridge |
| 2020 | RecSys | 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 |
| 2019 | RecSys | 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 |
| 2018 | RecSys | CHAMELEON: a deep learning meta-architecture for news recommender systems. | Gabriel de Souza Pereira Moreira |
| 2018 | RecSys | News Session-Based Recommendations using Deep Neural Networks. | Gabriel de Souza Pereira Moreira, Felipe Ferreira, Adilson Marques da Cunha |
| 2016 | RecSys | A Recommender System to tackle Enterprise Collaboration. | Gabriel de Souza Pereira Moreira, Gilmar Alves de Souza |
| 2015 | RecSys | Comparing Offline and Online Recommender System Evaluations on Long-tail Distributions. | Gabriel de Souza Pereira Moreira, Gilmar Alves de Souza, Adilson Marques da Cunha |