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ORCIDORSUM@RecSys 2023: Singapore
- João Vinagre, Marie Al-Ghossein, Ladislav Peska, Alípio Mário Jorge, Albert Bifet:
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. CEUR Workshop Proceedings 3549, CEUR-WS.org 2023
Keynotes
- Dietmar Jannach:
Sequential and Session-based Recommendation: Past, Present, Future. - Jacopo Tagliabue:
Wild Wild Tests.
Contributed papers
- Yi Ren, Ying Du, Bin Wang, Shenzheng Zhang:
Deep Mutual Learning across Task Towers for Effective Multi-Task Recommender Learning. - Yuxiang Qiu, Karim Djemili, Denis Elezi, Aaneel Shalman, María Pérez-Ortiz, Sahan Bulathwela:
TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) Feedback. - Sejoon Oh, Walid Shalaby, Amir Afsharinejad, Xiquan Cui:
Hierarchical Multi-Task Learning Framework for Session-based Recommendations. - Amy B. Z. Zhang, Siyun Wang, Raphael Louca, Karl Ni, Diane Hu:
Quantifying Exploration Preference for E-Commerce Recommendation. - Blaz Skrlj, Nir Ki-Tov, Lee Edelist, Natalia Silberstein, Hila Weisman-Zohar, Blaz Mramor, Davorin Kopic, Naama Ziporin:
Drifter: Efficient Online Feature Monitoring for Improved Data Integrity in Large-Scale Recommendation Systems.
Short Paper (Brainstorming Session)
- Denis Krasilnikov, Oleg Lashinin, Marina Ananyeva, Sergey Kolesnikov:
Next-basket Recommendation Constrained by Total Cost.
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