Proceedings of the 6th Workshop on Online Recommender Systems and User Modeling co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, September 19th, 2023 - researchr publication

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João Vinagre, Marie Al-Ghossein, Ladislav Peska, Alípio Mário Jorge, Albert Bifet, editors, Proceedings of the 6th Workshop on Online Recommender Systems and User Modeling co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), Singapore, September 19th, 2023. Volume 3549 of CEUR Workshop Proceedings, CEUR-WS.org, 2023. [doi]

Conference: orsum2023

Abstract is missing.

Wild Wild TestsJacopo Tagliabue. [doi]

Quantifying Exploration Preference for E-Commerce RecommendationAmy B. Z. Zhang, Siyun Wang, Raphael Louca, Karl Ni, Diane Hu. [doi]

Drifter: Efficient Online Feature Monitoring for Improved Data Integrity in Large-Scale Recommendation SystemsBlaz Skrlj, Nir Ki-Tov, Lee Edelist, Natalia Silberstein, Hila Weisman-Zohar, Blaz Mramor, Davorin Kopic, Naama Ziporin. [doi]

Next-basket Recommendation Constrained by Total CostDenis Krasilnikov, Oleg Lashinin, Marina Ananyeva, Sergey Kolesnikov. [doi]

Deep Mutual Learning across Task Towers for Effective Multi-Task Recommender LearningYi Ren, Ying Du, Bin Wang, Shenzheng Zhang. [doi]

Sequential and Session-based Recommendation: Past, Present, FutureDietmar Jannach. [doi]

Hierarchical Multi-Task Learning Framework for Session-based RecommendationsSejoon Oh, Walid Shalaby, Amir Afsharinejad, Xiquan Cui. [doi]

TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) FeedbackYuxiang Qiu, Karim Djemili, Denis Elezi, Aaneel Shalman, María Pérez-Ortiz 0001, Sahan Bulathwela. [doi]

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