Blar i Department of Information Science and Media Studies på forfatter "Jannach, Dietmar"
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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. ... -
Responsible media technology and AI: challenges and research directions
Trattner, Christoph; Jannach, Dietmar; Motta, Enrico; Meijer, Irene Costera; Diakopoulos, Nicholas; Elahi, Mehdi; Opdahl, Andreas Lothe; Tessem, Bjørnar; Borch, Njål Trygve; Fjeld, Morten; Øvrelid, Lilja; De Smedt, Koenraad; Moe, Hallvard (Journal article; Peer reviewed, 2021)The last two decades have witnessed major disruptions to the traditional media industry as a result of technological breakthroughs. New opportunities and challenges continue to arise, most recently as a result of the rapid ... -
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 ... -
Towards Responsible Media Recommendation
Elahi, Mehdi; Jannach, Dietmar; Skjærven, Lars; Knudsen, Erik; Sjøvaag, Helle; Tolonen, Kristian; Holmstad, Øyvind; Pipkin, Igor; Throndsen, Eivind; Stenbom, Agnes; Fiskerud, Eivind; Oesch, Adrian; Vredenberg, Loek; Trattner, Christoph (Journal article; Peer reviewed, 2021)Reading or viewing recommendations are a common feature on modern media sites. What is shown to consumers as recommendations is nowadays often automatically determined by AI algorithms, typically with the goal of helping ...