Ayoub El Majjodi

Ayoub El Majjodi

I'm compulsive about leaving a legacy, and making a positive footprint on the planet.


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Who I am

I am a Data Scientist specializing in Search, Recommendation, and Personalization systems. I'm currently working to improve search ranking, discovery mechanisms, and advanced personalization in the real estate domain, integrating modern machine learning and AI techniques to build scalable, high-impact systems.

I hold a PhD in Recommender systems and Bihavioral Data Science under the supervision of Prof. Christoph Trattner and Asso. Prof. Alain D. Starke, at the University of Bergen, Norway. As part of Behavioral Data Analytics & Recommender Systems research group, and with Work Package 2: User Modeling, Personalization & Engagement at MediaFutures. My research explored how personalization algorithms can influence decision-making and promote healthier behaviors. My work combined recommender systems, user modeling, and behavioral interventions across food and news domains.

With a background in mathematics, computer science, and data science, my work focuses on ranking systems, recommendation architectures, experimentation, and applied machine learning for personalization problems.

Experience

Data Scientist Zrch As, Bergen, Norway Feb 2026 - Present
PhD Candidate in Recommender Systems and Digital Nudges MediaFutures, University of Bergen (UiB), Norway 2021 - 2025
Research Intern in Machine learning and Recommender Systems University of Bari, Italy Sept 2024 - Dec 2024
Researcher (Contractor) in Cloud Computing University of Tampere, Finland 2020 - 2021

Education

PhD in Recommender Systems University of Bergen (UiB), Norway 2021 - 2025
Master's Degree in Data Science and Big Data ENSIAS, Morocco 2017 - 2019
Bachelor's Degree in Mathematics and Computer Science Ibn Zohr University, Morocco 2016 - 2019

Volunteering

Program Committee ACM Conference on User Modeling and Personalization (UMAP) 2024, 2025
Proceeding & Video Co‑chair ACM Conference On Recommender Systems (RecSys) 2024
Student Volunteer ACM RecSys Summer School Singapore 2023, Bari (Italy) 2024

Last 5 Publications

Nudging Healthy Choices: Leveraging LLM-Generated Hashtags and Explanations in Personalized Food Recommendations

Ayoub El Majjodi, Alain Starke, Christoph Trattner, Alessandro Petruzzelli, Cataldo Musto

Integrating Digital Food Nudges and Recommender Systems: Current Status and Future Directions

Ayoub El Majjodi, Alain D Starke, Christoph Trattner

Advancing Visual Food Attractiveness Predictions for Healthy Food Recommender Systems

Ayoub El Majjodi, Sohail Ahmed Khan,Alain D Starke, Mehdi Elahi, Christoph Trattner

Unikernels motivations, benefits and issues: A multivocal literature review

Nabil El Ioini, Ayoub El Majjodi, David Hastbacka, Tomas Cerny, Davide Taibi

The Interplay between Food Knowledge, Nudges, and Preference Elicitation Methods Determines the Evaluation of a Recipe Recommender System

Ayoub El Majjodi, Alain D Starke, Christoph Trattner

All Publications: Google Scholar