The comprehensive evaluation of the performance of a recommender system is a complex
endeavor: many facets need to be considered in configuring an adequate and effective …

Research output related to digital nudging has increased ten-fold over the last five years.
Nudging in the digital realm differs from its analog counterpart in important ways. For …

Digital transformation is profoundly transforming SMEs' business activities, bringing about
comparative advantages and associated risks. Previous studies on digital transformation …

Food recommender-systems are considered an effective tool to help users adjust their
eating habits and achieve a healthier diet. This paper aims to develop a new hybrid food …

Manipulation is a concern in many domains, such as social media, advertising, and
chatbots. As AI systems mediate more of our digital interactions, it is important to understand …

Personalized recommender systems have become indispensable in today's online world.
Most of today's recommendation algorithms are data-driven and based on behavioral data …

Food recommender systems show personalized recipes to users based on content liked
previously. Despite their potential, often recommended (popular) recipes in previous studies …

Growing concern about the democratic impact of automatically curated news platforms urges
us to reconsider how such platforms should be designed. We propose a theoretical …

When people search for what to cook for the day, they increasingly use online recipe sites to
find inspiration. Such recipe sites often show popular recipes to make it easier to find a …

During online information search, users tend to select search results that confirm previous
beliefs and ignore competing possibilities. This systematic pattern in human behavior is …