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Proceedings of Machine Learning Research

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Proceedings of Machine Learning Research
PMLR · 2026-06-02 · via Proceedings of Machine Learning Research

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Volume 109: 2nd Workshop on Online Recommender Systems and User Modeling, 19 September 2019, ACM RecSys 2019, Copenhagen, Denmark

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Editors: João Vinagre, Alípio Mário Jorge, Albert Bifet, Marie Al-Ghossein

[bib][citeproc]

Contents:

  • Keynote
  • Contributed Papers

Filter Authors: Filter Titles:

Keynote

A pragmatic and industry-aware approach toward the design of on-line recommender systems

; Proceedings of the 2nd Workshop on Online Recommder Systems and User Modeling, PMLR 109:1-1

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Contributed Papers

Fuzzy D’Hondt’s Algorithm for On-line Recommendations Aggregation

Ladislav Peška, Štep̌án Balkar; Proceedings of the 2nd Workshop on Online Recommder Systems and User Modeling, PMLR 109:2-11

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Search-Based Serving Architecture of Embeddings-Based Recommendations

Sonya Liberman, Shaked Bar, Raphael Vannerom, Danny Rosenstein, Ronny Lempel; Proceedings of the 2nd Workshop on Online Recommder Systems and User Modeling, PMLR 109:12-20

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Incremental Multi-Dimensional Recommender Systems: Co-Factorization vs Tensors

Miguel Sozinho Ramalho, João Vinagre, Alípio Mário Jorge, Rafaela Bastos; Proceedings of the 2nd Workshop on Online Recommder Systems and User Modeling, PMLR 109:21-35

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Personalized Push Notifications for News Recommendation

Babak Loni, Anne Schuth, Lucas van de Haas, Jeroen Jansze, Vasco Visser, Marlies van der Wees; Proceedings of the 2nd Workshop on Online Recommder Systems and User Modeling, PMLR 109:36-45

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Optimal Delivery with Budget Constraint in E-Commerce Advertising

Chao Wei, Weiru Zhang, Shengjie Sun, Fei Li, Xiaonan Meng, Yi Hu, Kuang-chih Lee, Hao Wang; Proceedings of the 2nd Workshop on Online Recommder Systems and User Modeling, PMLR 109:46-58

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Practical Lessons from Predicting New User Demographics for Ad Targeting

Musen Wen, Zhen Xia, Deepak Kumar Vasthimal; Proceedings of the 2nd Workshop on Online Recommder Systems and User Modeling, PMLR 109:59-67

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