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Manel Slokom
ORCID
Publication Activity (10 Years)
Years Active: 2015-2024
Publications (10 Years): 16
Top Topics
Current Practices
User Profiles
Machine Learning Models
Recommender Systems
Top Venues
CoRR
RecSys
PSD
ISC
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Publications
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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)