Original: https://ceur-ws.org/Vol-3924/ | Mirror: https://ceur-ws.wikidata.dbis.rwth-aachen.de/Vol-3924/ | Year: 2024

Vol-3924
urn:nbn:de:0074-3924-X

Copyright © 2024 for the individual papers by the papers' authors. Copyright © 2024 for the volume as a collection by its editors. This volume and its papers are published under https://creativecommons.org/licenses/by/4.0/.

RobustRecSys 2024

Proceedings of the Workshop Design, Evaluation, and Deployment of Robust Recommender Systems (RobustRecSys 2024)
co-located with RecSys 2024

Bari, Italy, October 18th, 2024.

Edited by

Valerio Guarrasi
Federico Siciliano
Fabrizio Silvestri

Table of Contents

PDF
The Role of Fake Users in Sequential Recommender Systems 1-7 PDF
Filippo Betello
Removing Bad Influence: Identifying and Pruning Detrimental Users in Collaborative Filtering Recommender Systems 8-11 PDF
Lukas Wegmeth, Tobias Vente, Philipp Meister, Jöran Beel
Greedy Ensemble Selection for Top-N Recommendations 12-16 PDF
Lukas Wegmeth, Tobias Vente, Zainil Mehta, Jöran Beel
Reducing Popularity Influence by Addressing Position Bias 17-23 PDF
Vladimir Vlasov, Marjan Celikik, Alexey Kurennoy, Andrii Dzhoha
Addressing bias in Recommender Systems: A Case Study on Data Debiasing Techniques in Mobile Games 24-29 PDF
Hui Wang (disambiguation), Maria Paskevich, Yixiong Wang
Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems 30-34 PDF
Yan Wu (disambiguation), Tong Zhao 0003, Neil Shah, Matthew Kolodner, Elham Ghazizadeh, Mingxuan Ju, Zihao Fan, Yozen Liu
Robust Solutions for Ranking Variability in Recommender Systems 35-40 PDF
Fabrizio Silvestri, Bonifacio Marco Francomano, Federico Siciliano
Robust Training of Sequential Recommender Systems with Missing Input Data 41-50 PDF
Federico Siciliano, Gabriele Tolomei, Iftah Gamzu, Shoval Lagziel

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