Ayoub El Majjodi is a PhD student at the DARS research group. After he obtained his MSc in Data Science and Big Data in 2019, he worked as a research assistant at Tempere University, Finland. The main focus of his research project lies within Recommender Systems for the food domain, where he will investigate the utility of Recommender systems and Digital nudging to change people’s eating behaviors and help them to attain healthier eating habits.

 

 

Academic chapter/article/Conference paper

• el Majjodi, Ayoub; Starke, Alain Dominique; Elahi, Mehdi et al. (2023). The Interplay between Food Knowledge, Nudges, and Preference Elicitation Methods Determines the Evaluation of a Recipe Recommender System. (external link)
• el Majjodi, Ayoub; Starke, Alain Dominique; Trattner, Christoph (2022). Nudging Towards Health? Examining the Merits of Nutrition Labels and Personalization in a Recipe Recommender System. (external link)
• Starke, Alain Dominique; el Majjodi, Ayoub; Trattner, Christoph (2022). Boosting Health? Examining the Role of Nutrition Labels and Preference Elicitation Methods in Food Recommendation. (external link)
• Castiglia, Giovanni; el Majjodi, Ayoub; Calò, Federica et al. (2022). Nudging Towards Health in a Conversational Food Recommender System Using Multi-Modal Interactions and Nutrition Labels. (external link)

See a complete overview of publications in Cristin.