Print Email Facebook Twitter Measuring the impact of online personalisation Title Measuring the impact of online personalisation: Past, present and future Author Zanker, Markus (Free University of Bozen-Bolzano) Rook, L. (TU Delft Economics of Technology and Innovation) Jannach, Dietmar (University of Klagenfurt) Date 2019 Abstract Research on understanding, developing and assessing personalisation systems is spread over multiple disciplines and builds on methodologies and findings from several different research fields and traditions, such as Artificial Intelligence (AI), Machine Learning (ML), Human–Computer Interaction (HCI), and User Modelling based on (applied) social and cognitive psychology. The fields of AI and ML primarily focus on the optimisation of personalisation applications, and concentrate on creating ever more accurate algorithmic decision makers and prediction models. In the fields of HCI and Information Systems, scholars are primarily interested in the phenomena around the use and interaction with personalisation systems, while Cognitive Science (partly) delivers the theoretical underpinnings for the observed effects. The aim and contribution of this work is to put together the pieces about the impact of personalisation and recommendation systems from these different backgrounds in order to formulate a research agenda and provide a perspective on future developments. Subject Adaptive systemsRecommender systemsWeb personalisation To reference this document use: http://resolver.tudelft.nl/uuid:59cd6b3b-4261-4ce5-8de8-1737a02ed061 DOI https://doi.org/10.1016/j.ijhcs.2019.06.006 ISSN 1071-5819 Source International Journal of Human-Computer Studies, 131, 160-168 Part of collection Institutional Repository Document type journal article Rights © 2019 Markus Zanker, L. Rook, Dietmar Jannach Files PDF 1_s2.0_S107158191930076X_main.pdf 412.38 KB Close viewer /islandora/object/uuid:59cd6b3b-4261-4ce5-8de8-1737a02ed061/datastream/OBJ/view