Browsing Department of Information Science and Media Studies by Author "Elahi, Mehdi"

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    • 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. ...

    • Investigating the impact of recommender systems on user-based and item-based popularity bias 

      Elahi, Mehdi; Khosh Kholgh, Danial; Kiarostami, Mohammad Sina; Saghari, Sorush; Parsa Rad, Shiva; Tkalcic, Marko (Journal article; Peer reviewed, 2021)
      Recommender Systems are decision support tools that adopt advanced algorithms in order to help users to find less-explored items that can be interesting for them. While recommender systems may offer a range of attractive ...

    • 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 ...

    • 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 ...