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Olafur Gudmundsson

Observed name: Gudmundsson, Olafur
Observed institution: Pinterest (United States)
ORCID: 0009-0004-0130-621X
Observed ORCID: 0009-0004-0130-621X
OpenAlex ID: A5140909648
Save, Revisit, Retain: A Scalable Framework for Enhancing User Retention in Large-Scale Recommender Systems
2026 · Weijie Jiang, Armando Ordorica, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2
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Warmer for Less: A Cost-Efficient Strategy for Cold-Start Recommendations at Pinterest
2025 · Ebrahimi, Saeed, Jiang, Weijie, et al. · arXiv (Cornell University) · 2
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Long-term User Engagement Optimization through Model-agnostic Downstream Rewards Learning
2026 · Dingsu Wang, Filip Ryzner, et al. · ACM Conference on Recommender Systems (RecSys) · 1
PinEqualizer: Full Funnel Content Exploration and Debiasing System at Pinterest
2026 · Olafur Gudmundsson, Bo Zhao, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 1
MESH: Scaling Up Retrieval with Heterogeneous Content Unification
2026 · Jiaxing Qu, Yilin Chen, et al. · ACM Conference on Recommender Systems (RecSys)
Deep-learning Causal Retrieval Optimization for Efficient e-commerce Distribution in Pinterest
2026 · Junpeng Hou, XianXing Zhang, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
Pin-SCALE: Semantic Cascading and Alignment Learning for Engagement-Aware IDs in Cold-Start Recommendations
2026 · Jiaxing Qu, Junpeng Hou, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
Save, Revisit, Retain: A Scalable Framework for Enhancing User Retention in Large-Scale Recommender Systems
2026 · Association for Artificial Intelligence 2026, Duan, Huizhong, et al. · Underline Science Inc.
1501 - Save, Revisit, Retain: A Scalable Framework for Enhancing User Retention in Large-Scale Recommender Systems
2026 · Association for Artificial Intelligence 2026, Duan, Huizhong, et al. · Underline Science Inc.
Works count: 9
Citation count: 6
H-index: 2
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