Vol-3548⫷ Vol-3549 ⫸Vol-3550
urn:nbn:de:0074-3549-2

Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International ( CC BY 4.0 ) .

ORSUM 2023
6th Workshop on Online Recommender Systems and User Modeling 2023

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 .

Edited by

João Vinagre (1)
Marie Al-Ghossein (2)
Ladislav Peška (3)
Alípio Mário Jorge (4,5)
Albert Bifet (6,7)

(1) European Commission , Joint Research Centre, Seville, Spain
(2) Crossing Minds , Paris, France
(3) Charles University , Department of Software Engineering, Prague, Czechia
(4) University of Porto , Faculty of Sciences - Department of Computer Science, Porto, Portugal
(5) INESC TEC , Laboratory of Artificial Intelligence and Decision Support (LIAAD), Porto, Portugal
(6) University of Waikato , Te Ipu o te Mahara Institute, Hamilton, New Zealand
(7) Télécom Paris , Laboratoire Traitement et Communication de l’Information (LTCI), Paris, France

Table of Contents

Keynotes

Sequential and Session-based Recommendation: Past, Present, Future
Dietmar Jannach
Wild Wild Tests
Jacopo Tagliabue

Contributed papers

Deep Mutual Learning across Task Towers for Effective Multi-Task Recommender Learning
Yi Ren , Ying Du , Bin Wang , Shenzheng Zhang
TrueLearn: A Python Library for Personalised Informational Recommendations with (Implicit) Feedback
Yuxiang Qiu , Karim Djemili , Denis Elezi , Aaneel Shalman , María Pérez-Ortiz , Sahan Bulathwela
Hierarchical Multi-Task Learning Framework for Session-based Recommendations
Sejoon Oh , Walid Shalaby , Amir Afsharinejad , Xiquan Cui
Quantifying Exploration Preference for E-Commerce Recommendation
Amy B.Z. Zhang , Siyun Wang , Raphael Louca , Karl Ni , Diane Hu
Drifter: Efficient Online Feature Monitoring for Improved Data Integrity in Large-Scale Recommendation Systems
Blaž Škrlj , Nir Ki-Tov , Lee Edelist , Natalia Silberstein , Hila Weisman-Zohar , Blaž Mramor , Davorin Kopič , Naama Ziporin

Short Paper (Brainstorming Session)

Next-basket Recommendation Constrained by Total Cost
Denis Krasilnikov , Oleg Lashinin , Marina Ananyeva , Sergey Kolesnikov

2023-10-24: submitted by João Vinagre, metadata incl. bibliographic data published under Creative Commons CC0
2023-11-16 : published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) | valid HTML5 |