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Auflistung nach Schlagwort "Recommender Systeme"

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  • Workshopbeitrag
    ABIS 2023 - 27th International Workshop on Personalization and Recommendation
    (Mensch und Computer 2023 - Workshopband, 2023) Neumayr, Thomas; Yigitbas, Enes; Augstein, Mirjam; Herder, Eelco
    ABIS is an international workshop, organized by the SIG on Adaptivity and User Modeling in Interactive Software Systems of the German Gesellschaft für Informatik. For more than 25 years, the ABIS Workshop has been a highly interactive forum for discussing the state of the art in personalization, user modeling, and related areas. The ABIS 2023 edition will have a special emphasis on the topics of personalization and recommendation within the areas of Computer-Supported Cooperative Work (CSCW) and/or Cross-Reality (XR) Interaction. While personalized CSCW deals with technological support of individuals who work organized in groups (Whom should I collaborate with? How can group work be supported during breakdowns?), XR describes the transition between or concurrent usage of multiple systems on the reality-virtuality continuum (In what flavor of reality/virtuality should I complete a current task according to my preferences, task affordances, and interaction capabilities?). To discuss and answer such questions, our workshop aims to bring together researchers and practitioners that are interested in the general personalization and recommendation domains, and/or in this year's special emphasis on CSCW and XR. Our goal is to identify current issues and future directions of research and foster future development of the discipline and collaborations.
  • Zeitschriftenartikel
    Kontextsensitive Recommender Systeme in mobilen Anwendungsbereichen
    (i-com: Vol. 10, No. 1, 2011) Wörndl, Wolfgang; Bader, Roland; Schlichter, Johann
    In diesem Beitrag diskutieren wir Prinzipien zur Integration von Kontext in Recommender Systemen und weitere Herausforderungen von Mobilität in diesem Feld. Dann stellen wir deren Anwendung auf einige mobile Anwendungsbereiche vor: Eine Integration von kollaborativem Filtern in einem mobilen Stadtführer, eine Empfehlung von Anwendungen für mobile Geräte sowie die proaktive Empfehlung von Tankstellen im Auto.