Recommender systems leveraging multimedia content
Recommender systems have become a popular and effective means to manage the ever-
increasing amount of multimedia content available today and to help users discover …
increasing amount of multimedia content available today and to help users discover …
Nudging towards health? examining the merits of nutrition labels and personalization in a recipe recommender system
Food recommender systems show personalized recipes to users based on content liked
previously. Despite their potential, often recommended (popular) recipes in previous studies …
previously. Despite their potential, often recommended (popular) recipes in previous studies …
Nudging healthy choices in food search through visual attractiveness
Recipe websites are becoming increasingly popular to support people in their home
cooking. However, most of these websites prioritize popular recipes, which tend to be …
cooking. However, most of these websites prioritize popular recipes, which tend to be …
Examining the user evaluation of multi-list recommender interfaces in the context of healthy recipe choices
Multi-list recommender systems have become widespread in entertainment and e-
commerce applications. Yet, extensive user evaluation research is missing. Since most …
commerce applications. Yet, extensive user evaluation research is missing. Since most …
“serving each user”: Supporting different eating goals through a multi-list recommender interface
Food recommender systems optimize towards a user's current preferences. However,
appetites may vary, in the sense that users might seek healthy recipes today and look for …
appetites may vary, in the sense that users might seek healthy recipes today and look for …
Towards a knowledge-aware food recommender system exploiting holistic user models
Food recommender systems typically rely on popularity, as well as similarity between
recipes to generate personalized suggestions. However, this leaves little room for users to …
recipes to generate personalized suggestions. However, this leaves little room for users to …
Learning to recommend similar items from human judgments
Similar item recommendations—a common feature of many Web sites—point users to other
interesting objects given a currently inspected item. A common way of computing such …
interesting objects given a currently inspected item. A common way of computing such …
Understanding and predicting cross-cultural food preferences with online recipe images
Predicting food preferences is challenging due to the numerous factors that can influence
individual taste. Cultural influences are one such factor that can significantly impact food …
individual taste. Cultural influences are one such factor that can significantly impact food …
Buying the 'right'thing: Designing food recommender systems with critical consumers
Critical consumerism is complex as ethical values are difficult to negotiate, appropriate
products are hard to find, and product information is overwhelming. Although recommender …
products are hard to find, and product information is overwhelming. Although recommender …
The cholesterol factor: Balancing accuracy and health in recipe recommendation through a nutrient-specific metric
Whereas many food recommender systems optimize for users' preferences, health is
another but often overlooked objective. This paper aims to recommend relevant recipes that …
another but often overlooked objective. This paper aims to recommend relevant recipes that …