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  • Public defence: 2020-05-08 13:00 Auditorium C, C0E11, Niagara buildning, Malmö
    Paraschakis, Dimitris
    Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).
    Sociotechnical Aspects of Automated Recommendations: Algorithms, Ethics, and Evaluation2020Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Recommender systems are algorithmic tools that assist users in discovering relevant items from a wide range of available options. Along with the apparent user value in mitigating the choice overload, they have an important business value in boosting sales and customer retention. Last, but not least, they have brought a substantial research value to the algorithm developments of the past two decades, mainly in the academic community. This thesis aims to address some of the aspects that are important to consider when recommender systems pave their way towards real-life applications.