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Even Oldridge
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2020 – today
- 2024
- [i4]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 abs/2407.15831 (2024) - [i3]Gabriel de Souza Pereira Moreira, Ronay Ak, Benedikt Schifferer, Mengyao Xu, Radek Osmulski, Even Oldridge:
Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG. CoRR abs/2409.07691 (2024) - 2023
- [c9]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: 318-321 - [i2]Zhenrui Yue, Sara Rabhi, Gabriel de Souza Pereira Moreira, Dong Wang, Even Oldridge:
LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking. CoRR abs/2311.02089 (2023) - 2022
- [c8]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: 632-635 - [e2]Jennifer Golbeck, F. Maxwell Harper, Vanessa Murdock, Michael D. Ekstrand, Bracha Shapira, Justin Basilico, Keld T. Lundgaard, Even Oldridge:
RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18 - 23, 2022. ACM 2022, ISBN 978-1-4503-9278-5 [contents] - 2021
- [c7]Gabriel de Souza Pereira Moreira, Sara Rabhi, Jeongmin Lee, Ronay Ak, Even Oldridge:
Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation. RecSys 2021: 143-153 - [e1]Humberto Jesús Corona Pampín, Martha A. Larson, Martijn C. Willemsen, Joseph A. Konstan, Julian J. McAuley, Jean Garcia-Gathright, Bouke Huurnink, Even Oldridge:
RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021 - 1 October 2021. ACM 2021, ISBN 978-1-4503-8458-2 [contents] - [i1]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 abs/2107.05124 (2021) - 2020
- [c6]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: 3503-3504 - [c5]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: 16-23 - [c4]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: 44-49 - [c3]Benedikt Schifferer, Chris Deotte, Even Oldridge:
Tutorial: Feature Engineering for Recommender Systems. RecSys 2020: 754-755
2010 – 2019
- 2019
- [c2]Sara Rabhi, Wenbo Sun, Julio Perez, Mads Ruben Burgdorff Kristensen, Jiwei Liu, Even Oldridge:
Accelerating recommender system training 15x with RAPIDS. RecSys Challenge 2019: 8:1-8:5 - 2018
- [c1]Even Oldridge:
Adapting session based recommendation for features through transfer learning. RecSys 2018: 481
Coauthor Index
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