Manel Slokom

According to our database, Manel Slokom authored at least 24 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

FedFlex: Federated Learning for Diverse Netflix Recommendations.

Sven Lankester, Manel Slokom, Gustavo de Carvalho Bertoli, Matias Vizcaino, Emmanuelle Beauxis-Aussalet, Laura Hollink

CoRR, July, 2025

On the challenges of studying bias in Recommender Systems: The effect of data characteristics and algorithm configuration.

Savvina Daniil, Manel Slokom, Mirjam Cuper, Cynthia C. S. Liem, Jacco van Ossenbruggen, Laura Hollink

Inf. Retr. Res. J., 2025

How to Diversify any Personalized Recommender?

Manel Slokom, Savvina Daniil, Laura Hollink

Proceedings of the Advances in Information Retrieval, 2025

2024

Towards Purpose-aware Privacy-Preserving Techniques for Predictive Applications.

Manel Slokom

PhD thesis, 2024

On the challenges of studying bias in Recommender Systems: A UserKNN case study.

Savvina Daniil, Manel Slokom, Mirjam Cuper, Cynthia C. S. Liem, Jacco van Ossenbruggen, Laura Hollink

CoRR, 2024

How to Diversify any Personalized Recommender? A User-centric Pre-processing approach.

Manel Slokom, Laura Hollink

CoRR, 2024

Relational Or Single: A Comparative Analysis of Data Synthesis Approaches for Privacy and Utility on a Use Case from Statistical Office.

Manel Slokom, Shruti Agrawal, Nynke C. Krol, Peter-Paul de Wolf

Proceedings of the Privacy in Statistical Databases - International Conference, 2024

A Case Study Exploring Data Synthesis Strategies on Tabular vs. Aggregated Data Sources for Official Statistics.

Mohamed Aghaddar, Liu Nuo Su, Manel Slokom, Lucas Barnhoorn, Peter-Paul de Wolf

Proceedings of the Privacy in Statistical Databases - International Conference, 2024

Technological Innovation in the Media Sector: Understanding Current Practices and Unraveling Opportunities.

Simone Ooms, Pablo César, Abdallah El Ali, Davide Ceolin, Laura Hollink, Manel Slokom, Eric J. Pauwels, Valentin Robu, Han La Poutré

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Exploring Privacy-Preserving Techniques on Synthetic Data as a Defense Against Model Inversion Attacks.

Manel Slokom, Peter-Paul de Wolf, Martha A. Larson

Proceedings of the Information Security - 26th International Conference, 2023

2022

Machine Learning Meets Data Modification - The Potential of Pre-processing for Privacy Enchancement.

Giuseppe Garofalo, Manel Slokom, Davy Preuveneers, Wouter Joosen, Martha A. Larson

Security and Artificial Intelligence, 2022

Minimizing Mindless Mentions: Recommendation with Minimal Necessary User Reviews.

Danny Stax, Manel Slokom, Martha A. Larson

CoRR, 2022

Gender In Gender Out: A Closer Look at User Attributes in Context-Aware Recommendation.

Manel Slokom, Özlem Özgöbek, Martha A. Larson

CoRR, 2022

When Machine Learning Models Leak: An Exploration of Synthetic Training Data.

Manel Slokom, Peter-Paul de Wolf, Martha A. Larson

Proceedings of the Privacy in Statistical Databases - International Conference, 2022

2021

Towards user-oriented privacy for recommender system data: A personalization-based approach to gender obfuscation for user profiles.

Manel Slokom, Alan Hanjalic, Martha A. Larson

Inf. Process. Manag., 2021

Doing Data Right: How Lessons Learned Working with Conventional Data should Inform the Future of Synthetic Data for Recommender Systems.

Manel Slokom, Martha A. Larson

CoRR, 2021

SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research.

Michael D. Ekstrand, Allison Chaney, Pablo Castells, Robin Burke, David Rohde, Manel Slokom

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

Partially Synthetic Data for Recommender Systems: Prediction Performance and Preference Hiding.

Manel Slokom, Martha A. Larson, Alan Hanjalic

CoRR, 2020

2019

BlurM(or)e: Revisiting Gender Obfuscation in the User-Item Matrix.

Christopher Strucks, Manel Slokom, Martha A. Larson

Proceedings of the Workshop on Recommendation in Multi-stakeholder Environments co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019), 2019

Data Masking for Recommender Systems: Prediction Performance and Rating Hiding.

Manel Slokom, Martha A. Larson, Alan Hanjalic

Proceedings of ACM RecSys 2019 Late-Breaking Results co-located with the 13th ACM Conference on Recommender Systems, 2019

Up Close, but not too Personal: Hypotargeting for Recommender Systems.

Martha A. Larson, Manel Slokom

Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems, 2019

2018

Comparing recommender systems using synthetic data.

Manel Slokom

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

2017

A New Social Recommender System Based on Link Prediction Across Heterogeneous Networks.

Manel Slokom, Raouia Ayachi

Proceedings of the Intelligent Decision Technologies 2017 - Proceedings of the 9th KES International Conference on Intelligent Decision Technologies (KES-IDT 2017), 2017

2015

Towards a new possibilistic collaborative filtering approach.

Manel Slokom, Raouia Ayachi

Proceedings of the Second International Conference on Computer Science, 2015