Manel Slokom

Orcid: 0000-0002-9048-1906

According to our database1, Manel Slokom authored at least 20 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
On the challenges of studying bias in Recommender Systems: A UserKNN case study.
CoRR, 2024

How to Diversify any Personalized Recommender? A User-centric Pre-processing approach.
CoRR, 2024

Relational Or Single: A Comparative Analysis of Data Synthesis Approaches for Privacy and Utility on a Use Case from Statistical Office.
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.
Proceedings of the Privacy in Statistical Databases - International Conference, 2024

Technological Innovation in the Media Sector: Understanding Current Practices and Unraveling Opportunities.
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.
Proceedings of the Information Security - 26th International Conference, 2023

2022
Machine Learning Meets Data Modification - The Potential of Pre-processing for Privacy Enchancement.
Security and Artificial Intelligence, 2022

Minimizing Mindless Mentions: Recommendation with Minimal Necessary User Reviews.
CoRR, 2022

Gender In Gender Out: A Closer Look at User Attributes in Context-Aware Recommendation.
CoRR, 2022

When Machine Learning Models Leak: An Exploration of Synthetic Training Data.
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.
Inf. Process. Manag., 2021

Doing Data Right: How Lessons Learned Working with Conventional Data should Inform the Future of Synthetic Data for Recommender Systems.
CoRR, 2021

SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research.
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.
CoRR, 2020

2019
BlurM(or)e: Revisiting Gender Obfuscation in the User-Item Matrix.
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.
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.
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.
Proceedings of the 12th ACM Conference on Recommender Systems, 2018

2017
A New Social Recommender System Based on Link Prediction Across Heterogeneous Networks.
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.
Proceedings of the Second International Conference on Computer Science, 2015


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