Manel Slokom

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 16

Top Topics

Current Practices

Machine Learning Models

Recommender Systems

Top Venues

Publications

Manel Slokom, Laura Hollink
How to Diversify any Personalized Recommender? A User-centric Pre-processing approach. CoRR (2024)
Simone Ooms, Pablo César, Abdallah El Ali, Davide Ceolin, Laura Hollink, Manel Slokom, Eric J. Pauwels, Valentin Robu, Han La Poutré
Technological Innovation in the Media Sector: Understanding Current Practices and Unraveling Opportunities. CHI Extended Abstracts (2024)
Manel Slokom, Peter-Paul de Wolf, Martha A. Larson
Exploring Privacy-Preserving Techniques on Synthetic Data as a Defense Against Model Inversion Attacks. ISC (2023)
Manel Slokom, Peter-Paul de Wolf, Martha A. Larson
When Machine Learning Models Leak: An Exploration of Synthetic Training Data. CoRR (2023)
Danny Stax, Manel Slokom, Martha A. Larson
Minimizing Mindless Mentions: Recommendation with Minimal Necessary User Reviews. CoRR (2022)
Manel Slokom, Özlem Özgöbek, Martha A. Larson
Gender In Gender Out: A Closer Look at User Attributes in Context-Aware Recommendation. CoRR (2022)
Manel Slokom, Peter-Paul de Wolf, Martha A. Larson
When Machine Learning Models Leak: An Exploration of Synthetic Training Data. PSD (2022)
Manel Slokom, Martha A. Larson
Doing Data Right: How Lessons Learned Working with Conventional Data should Inform the Future of Synthetic Data for Recommender Systems. CoRR (2021)
Michael D. Ekstrand, Allison Chaney, Pablo Castells, Robin Burke, David Rohde, Manel Slokom
SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research. RecSys (2021)
Manel Slokom, Alan Hanjalic, Martha A. Larson
Towards user-oriented privacy for recommender system data: A personalization-based approach to gender obfuscation for user profiles. Inf. Process. Manag. 58 (6) (2021)
Manel Slokom, Martha A. Larson, Alan Hanjalic
Partially Synthetic Data for Recommender Systems: Prediction Performance and Preference Hiding. CoRR (2020)
Martha A. Larson, Manel Slokom
Up Close, but not too Personal: Hypotargeting for Recommender Systems. ImpactRS@RecSys (2019)
Christopher Strucks, Manel Slokom, Martha A. Larson
BlurM(or)e: Revisiting Gender Obfuscation in the User-Item Matrix. RMSE@RecSys (2019)
Manel Slokom, Martha A. Larson, Alan Hanjalic
Data Masking for Recommender Systems: Prediction Performance and Rating Hiding. RecSys (Late-Breaking Results) (2019)
Manel Slokom
Comparing recommender systems using synthetic data. RecSys (2018)
Manel Slokom, Raouia Ayachi
A New Social Recommender System Based on Link Prediction Across Heterogeneous Networks. KES-IDT (2) (2017)
Manel Slokom, Raouia Ayachi
Towards a new possibilistic collaborative filtering approach. CSCESM (2015)