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 PhD candidate under the supervision of Prof. Christoph Trattner and Asso. Prof. Alain D. Starke, at the University of Bergen, Norway. I am affiliated with Behavioral Data Analytics & Recommender Systems research group at The InfoMedia department, and with Work Package 2: User Modeling, Personalization & Engagement at MediaFutures.

I hold a Bachelor's degree (with honor) in Mathematics and Computer Science from Ibn Zohr University, Agadir (Morocco) and a Master's Degree in Data Science and Big Data (with honor) from The National Advanced School of Computer Science and System Analysis (Morocco). Before starting my PhD, I worked as a research assistant in The Cloud and Web engineering group at Tampere University (Finland).

My current research focuses on two main areas: Behavioral Data Science and Recommender Systems. Specifically, I investigate how recommender systems can encourage healthier behaviors. In the food domain, I develop and apply behavioral interventions on top of recommender algorithms to promote healthier eating choices. In the news and media domain, I leverage insights from my work on food to personalize news consumption, aiming to help people become more informed and engaged readers.

Experience

PhD Candidate in Recommender Systems and Digital Nudges MediaFutures, University of Bergen (UiB), Norway 2021 - Present
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 - Present
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), 2019

Last 5 Publications

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

Boosting Health? Examining the Role of Nutrition Labels and Preference Elicitation Methods in Food Recommendation

Alain Starke, Ayoub El Majjodi and Christoph Trattner

Nudging towards health in a conversational food recommender system using multi-modal interactions and nutrition labels

Giovanni Castiglia, Ayoub El Majjodi, Alain Dominique Starke, Fedelucio Narducci, Yashar Deldjoo, Christoph Trattner, Calò Federica

Nudging towards health? examining the merits of nutrition labels and personalization in a recipe recommender system

Ayoub El Majjodi, Alain D Starke, Christoph Trattner

All Publications: Google Scholar