| 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 the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# RobustRecSys 2024
Design, Evaluation, and Deployment of Robust Recommender Systems 2024

### Proceedings of the Workshop Design, Evaluation, and Deployment of Robust Recommender Systems (RobustRecSys 2024)
co-located with the 18th ACM Conference on Recommender Systems (RecSys 2024)

### Bari, Italy, October 18th, 2024.

Edited by

### Valerio Guarrasi *
Federico Siciliano **
Fabrizio Silvestri **

* University Campus Bio-Medico of Rome, Rome, Italy
** Sapienza University of Rome, Rome, Italy

## Table of Contents

- Summary: There were 9 papers submitted for peer-review to this workshop. Out of these, 8 papers were accepted for this volume, 1 as a regular paper and 7 as short papers.

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

2025-01-28: submitted by Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri, metadata incl. bibliographic data published under Creative Commons CC0
2025-02-16: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|