Even Oldridge

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Fusing Multiple

Feature Engineering

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)
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, 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)
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)
Benedikt Schifferer, Chris Deotte, Even Oldridge
Tutorial: Feature Engineering for Recommender Systems. RecSys (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)
Bartley Richardson, Bradley Rees, Tom Drabas, Even Oldridge, David A. Bader, Rachel Allen
Accelerating and Expanding End-to-End Data Science Workflows with DL/ML Interoperability Using RAPIDS. KDD (2020)
Sara Rabhi, Wenbo Sun, Julio Perez, Mads Ruben Burgdorff Kristensen, Jiwei Liu, Even Oldridge
Accelerating recommender system training 15x with RAPIDS. RecSys Challenge (2019)
Even Oldridge
Adapting session based recommendation for features through transfer learning. RecSys (2018)