Even Oldridge

According to our database, Even Oldridge authored at least 11 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• 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

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

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

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

Tutorial: Feature Engineering for Recommender Systems.

Benedikt Schifferer, Chris Deotte, Even Oldridge

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 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

Accelerating and Expanding End-to-End Data Science Workflows with DL/ML Interoperability Using RAPIDS.

Bartley Richardson, Bradley Rees, Tom Drabas, Even Oldridge, David A. Bader, Rachel Allen

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

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

2018

Adapting session based recommendation for features through transfer learning.

Even Oldridge

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