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Even Oldridge

Observed name: Oldridge, Even
ORCID: 0009-0002-1990-0941
Observed ORCID: 0009-0002-1990-0941
OpenAlex ID: A5023954126
Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation
2021 · Gabriel de Souza Pereira Moreira, Sara Rabhi, et al. · ACM Conference on Recommender Systems (RecSys) · 201
LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking
2023 · Yue, Zhenrui, Rabhi, Sara, et al. · arXiv (Cornell University) · 151
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NV-Retriever: Improving text embedding models with effective hard-negative mining
2024 · Moreira, Gabriel de Souza P., Osmulski, Radek, et al. · arXiv (Cornell University) · 140
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Why Are Deep Learning Models Not Consistently Winning Recommender Systems Competitions Yet? A Position Paper
2020 · Dietmar Jannach, Gabriel de Souza P. Moreira, et al. · ACM Recommender Systems Challenge (RecSys Challenge) · 34
Nemotron ColEmbed V2: Top-Performing Late Interaction Embedding Models for Visual Document Retrieval
2026 · Moreira, Gabriel de Souza P., Ak, Ronay, et al. · arXiv (Cornell University) · 29
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Omni-Embed-Nemotron: A Unified Multimodal Retrieval Model for Text, Image, Audio, and Video
2025 · Xu, Mengyao, Zhou, Wenfei, et al. · arXiv (Cornell University) · 29
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Llama Nemoretriever Colembed: Top-Performing Text-Image Retrieval Model
2025 · Xu, Mengyao, Moreira, Gabriel, et al. · arXiv (Cornell University) · 29
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Transformers with multi-modal features and post-fusion context for e-commerce session-based recommendation
2021 · Moreira, Gabriel de Souza P., Rabhi, Sara, et al. · arXiv (Cornell University) · 28
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Enhancing Q&A Text Retrieval with Ranking Models: Benchmarking, fine-tuning and deploying Rerankers for RAG
2024 · Moreira, Gabriel de Souza P., Ak, Ronay, et al. · arXiv (Cornell University) · 27
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GPU Accelerated Feature Engineering and Training for Recommender Systems
2020 · Benedikt Schifferer, Gilberto Titericz, et al. · ACM Recommender Systems Challenge (RecSys Challenge) · 24
Building and Deploying a Multi-Stage Recommender System with Merlin
2022 · Karl Higley, Even Oldridge, et al. · ACM Conference on Recommender Systems (RecSys) · 20
MIRACL-VISION: A Large, multilingual, visual document retrieval benchmark
2025 · Osmulski, Radek, Moreira, Gabriel de Souza P., et al. · arXiv (Cornell University) · 16
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Improving Text Embedding Models with Positive-aware Hard-negative Mining
2025 · Gabriel de Souza P. Moreira, Radek Osmulski, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 15
Accelerating recommender system training 15x with RAPIDS
2019 · Sara Rabhi, Wenbo Sun, et al. · 9
Tutorial: Feature Engineering for Recommender Systems
2020 · Benedikt Schifferer, Chris Deotte, et al. · ACM Conference on Recommender Systems (RecSys) · 7
Accelerating and Expanding End-to-End Data Science Workflows with DL/ML Interoperability Using RAPIDS
2020 · Bartley Richardson, Bradley Rees, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2
Adapting session based recommendation for features through transfer learning
2018 · Even Oldridge · ACM Conference on Recommender Systems (RecSys) · 1
Beyond Semantic Similarity: Performance and Costs of Agentic Retrieval for Complex Tasks
2026 · Esfandiarpoor, Reza, Osmulski, Radek, et al. · arXiv (Cornell University)
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HierarchicalKV: A GPU Hash Table with Cache Semantics for Continuous Online Embedding Storage
2026 · Rong, Haidong, Yao, Jiashu, et al. · arXiv (Cornell University)
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Investigating the effects of incremental training on neural ranking models
2023 · Benedikt Schifferer, Wenzhe Shi, et al. · ACM Conference on Recommender Systems (RecSys)
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Works count: 21
Citation count: 762
H-index: 13
I10-index: 13
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