Browsing Bergen Open Research Archive by Author "Starke, Alain Dominique"
Now showing items 1-14 of 14
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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 Cholesterol Factor: Balancing Accuracy and Health in Recipe Recommendation Through a Nutrient-Specific Metric
Starke, Alain Dominique; Trattner, Christoph; Bakken, Hedda; Johannessen, Martin Skivenesvåg; Solberg, Vegard (Chapter, 2021)Whereas many food recommender systems optimize for users’ preferences, health is another but often overlooked objective. This paper aims to recommend relevant recipes that avoid nutrients that contribute to high levels of ... -
Determinants of consumer acceptance and use of personalized dietary advice: A systematic review
Reinders, Machiel; Starke, Alain Dominique; Fischer, Arnout R.H.; Verain, Muriel C.D.; Doets, Esmee L.; Van Loo, Ellen J. (Journal article; Peer reviewed, 2023)Background There has been growing attention towards personalizing dietary advice to the specific lifestyle, phenotypic and genotypic properties of consumers. Consumer acceptance and advice adherence is critical for the ... -
Developing and Evaluating a University Recommender System
Elahi, Mehdi; Starke, Alain Dominique; El Ioini, Nabil; Lambrix, Anna Alexander; Trattner, Christoph (Journal article; Peer reviewed, 2022)A challenge for many young adults is to find the right institution to follow higher education. Global university rankings are a commonly used, but inefficient tool, for they do not consider a person's preferences and needs. ... -
Examining Choice Overload across Single-list and Multi-list User Interfaces
Starke, Alain Dominique; Sedkowska, Justyna; Chouhan, Mihir; Ferwerda, Bruce (Chapter, 2022)Recommender systems are prone to triggering choice overload among users due to the typically large set sizes. Various applications have been developed that aim to overcome this through interface design, notably by so-called ... -
Healthiness and environmental impact of dinner recipes vary widely across developed countries
Angelsen, Aslaug Linnea; Starke, Alain Dominique; Trattner, Christoph (Journal article; Peer reviewed, 2023)Contrary to food ingredients, little is known about recipes’ healthiness or environmental impact. Here we examine 600 dinner recipes from Norway, the UK and the USA retrieved from cookbooks and the Internet. Recipe healthiness ... -
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 ... -
“Tell Me Why”: using natural language justifications in a recipe recommender system to support healthier food choices
Starke, Alain Dominique; Musto, Cataldo; Rapp, Amon; Semeraro, Giovanni; Trattner, Christoph (Journal article; Peer reviewed, 2023)Users of online recipe websites tend to prefer unhealthy foods. Their popularity under- mines the healthiness of traditional food recommender systems, as many users lack nutritional knowledge to make informed food decisions. ... -
Topical Preference Trumps Other Features in News Recommendation: A Conjoint Analysis on a Representative Sample from Norway
Knudsen, Erik; Starke, Alain Dominique; Trattner, Christoph (Journal article; Peer reviewed, 2023)A variety of news articles features can be used to tailor news content. However, only a few studies have actually compared the relative importance of different features in predicting news reading behavior in the context ... -
Towards Attitudinal Change in News Recommender Systems: A Pilot Study on Climate Change
Jeng, Jia-Hua; Starke, Alain Dominique; Trattner, Christoph (Chapter, 2023) -
Using natural language processing and artificial intelligence to explore the nutrition and sustainability of recipes and food
van Erp, Marieke; Reynolds, Christian; Maynard, Diana; Starke, Alain Dominique; Ibáñez Martín, Rebeca; Andres, Frederic; Leite, Maria C. A.; Alvarez de Toledo, Damien; Schmidt Rivera, Ximena; Trattner, Christoph; Brewer, Steven; Adriano Martins, Carla; Kluczkovski, Alana; Frankowska, Angelina; Bridle, Sarah; Levy, Renata Bertazzi; Rauber, Fernanda; Tereza da Silva, Jacqueline; Bosma, Ulbe (Journal article; Peer reviewed, 2021)In this paper, we discuss the use of natural language processing and artificial intelligence to analyze nutritional and sustainability aspects of recipes and food. We present the state-of-the-art and some use cases, followed ... -
Using Visual and Linguistic Framing to Support Sustainable Decisions in an Online Store
Starke, Alain Dominique; Emami, Kimia; Makarová, Andrea; Ferwerda, Bruce (Journal article; Peer reviewed, 2023)Companies face several digital communication challenges when it comes to promoting green products or services. The framing effect, which refers to the presentation of information, can significantly influence decision-making ...