Blar i Department of Information Science and Media Studies på forfatter "el Majjodi, Ayoub"
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Boosting Health? Examining the Role of Nutrition Labels and Preference Elicitation Methods in Food Recommendation
Starke, Alain Dominique; el Majjodi, Ayoub; Trattner, Christoph (Chapter, 2022)How users evaluate a recommender system goes beyond the accuracy of the presented content. For food recommendation, users differ in terms of the needs they have. We investigated whether users with different levels of health ... -
The Interplay between Food Knowledge, Nudges, and Preference Elicitation Methods Determines the Evaluation of a Recipe Recommender System
el Majjodi, Ayoub; Starke, Alain Dominique; Elahi, Mehdi; Trattner, Christoph (Chapter, 2023)Domain knowledge can affect how a user evaluates different aspects of a recommender system. Recipe recommendations might be difficult to understand, as some health aspects are implicit. The appropri- ateness of a recommender’s ... -
Nudging Towards Health in a Conversational Food Recommender System Using Multi-Modal Interactions and Nutrition Labels
Castiglia, Giovanni; el Majjodi, Ayoub; Starke, Alain Dominique; Narducci, Fedelucio; Deldjoo, Yashar; Calò, Federica (Chapter, 2022)Humans engage with other humans and their surroundings through various modalities, most notably speech, sight, and touch. In a conversation, all these inputs provide an overview of how another person is feeling. When ... -
Nudging Towards Health? Examining the Merits of Nutrition Labels and Personalization in a Recipe Recommender System
el Majjodi, Ayoub; Starke, Alain Dominique; Trattner, Christoph (Chapter, 2022)Food recommender systems show personalized recipes to users based on content liked previously. Despite their potential, often recommended (popular) recipes in previous studies have turned out to be unhealthy, negatively ...