• E-mailayoub.majjodi@uib.no
  • Visitor Address
    Fosswinckels gate 6
    Lauritz Meltzers hus
    5007 Bergen
  • Postal Address
    Postboks 7802
    5020 Bergen

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
  • Show author(s) (2023). The Interplay between Food Knowledge, Nudges, and Preference Elicitation Methods Determines the Evaluation of a Recipe Recommender System.
  • Show author(s) (2022). Nudging Towards Health? Examining the Merits of Nutrition Labels and Personalization in a Recipe Recommender System. 9 pages.
  • Show author(s) (2022). Nudging Towards Health in a Conversational Food Recommender System Using Multi-Modal Interactions and Nutrition Labels.
  • Show author(s) (2022). Boosting Health? Examining the Role of Nutrition Labels and Preference Elicitation Methods in Food Recommendation. 18 pages.

More information in national current research information system (CRIStin)

Research groups