Lien Michiels
Scholar

Lien Michiels

Google Scholar ID: taWVAMEAAAAJ
Senior Researcher, Adrem Data Lab University of Antwerp and imec-SMIT, Vrije Universiteit Brussel
evaluationrecommender systemsdiversitynews
Citations & Impact
All-time
Citations
228
 
H-index
7
 
i10-index
6
 
Publications
20
 
Co-authors
19
list available
Resume (English only)
Academic Achievements
  • Published multiple research papers on recommender systems, conversational agents, and evaluation frameworks. Notable works include 'Mitigating Misleadingness in LLM-Generated Natural Language Explanations for Recommender Systems: Ensuring Broad Truthfulness Through Factuality and Faithfulness' and 'What Is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender Systems.' Also contributed to the 'Conversational Agents: A Framework for Evaluation (CAFE): Manifesto from Dagstuhl Perspectives Workshop 24352.'
Research Experience
  • Developed RecPack, an experimentation toolkit for top-N recommendation using implicit feedback data. Participated in a project measuring filter bubbles in online news, using Generalized Linear Mixed-Effects Model (GLMM) for data analysis.
Education
  • Graduated from the University of Antwerp in 2024, focusing on methodologies to evaluate recommender systems.
Background
  • Interdisciplinary researcher who is genuinely passionate about fostering diverse exposure and discovery through algorithmic recommendation. Creative problem solver and team player, with a love for cross-disciplinary collaboration.
Miscellany
  • Enjoys finding fun in work and turning jobs into games.