Sara Rabhi

According to our database, Sara Rabhi authored at least 11 papers between 2019 and 2023.

Collaborative distances:

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

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

2022

Optimized deep learning-based multimodal method for irregular medical timestamped data. (Méthode multimodale optimisée basée sur l'apprentissage profond pour les données médicales temporelles irrégulières).

Sara Rabhi

PhD thesis, 2022

Temporal deep learning framework for retinopathy prediction in patients with type 1 diabetes.

Sara Rabhi, Frédéric Blanchard, Alpha Mamadou Diallo, Djamal Zeghlache, Céline Lukas, Aurélie Berot, Brigitte Delemer, Sara Barraud

Artif. Intell. Medicine, 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

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

2019

Accelerating recommender system training 15x with RAPIDS.

Sara Rabhi, Wenbo Sun, Julio Perez, Mads Ruben Burgdorff Kristensen, Jiwei Liu, Even Oldridge

Proceedings of the Workshop on ACM Recommender Systems Challenge, 2019