Blar i University of Bergen Library på tidsskrift "User modeling and user-adapted interaction"

Viser treff 1-4 av 4

    • Considering temporal aspects in recommender systems: a survey 

      Bogina, Veronika; Kuflik, Tsvi; Jannach, Dietmar; Bielikova, Maria; Kompan, Michal; Trattner, Christoph (Journal article; Peer reviewed, 2022)
      The widespread use of temporal aspects in user modeling indicates their importance, and their consideration showed to be highly effective in various domains related to user modeling, especially in recommender systems. ...

    • Examining the merits of feature-specific similarity functions in the news domain using human judgments 

      Starke, Alain Dominique; Solberg, Vegard Rygh; Larsen, Sebastian Øverhaug; Trattner, Christoph (Journal article; Peer reviewed, 2024)
      Online news article recommendations are typically of the ‘more like this’ type, gener- ated by similarity functions. Across three studies, we examined the representativeness of different similarity functions for news item ...

    • A survey on popularity bias in recommender systems 

      Klimashevskaia, Anastasiia; Jannach, Dietmar; Elahi, Mehdi; Trattner, Christoph (Journal article; Peer reviewed, 2024)
      Recommender systems help people find relevant content in a personalized way. One main promise of such systems is that they are able to increase the visibility of items in the long tail, i.e., the lesser-known items in a ...

    • “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. ...