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Dominik Kowald

    Die Auswirkungen der Corona-Pandemie auf die Pflege in Deutschland
    Feature Models
    Modeling Activation Processes in Human Memory for Tag Recommendations
    • 2024

      Feature Models

      AI-Driven Design, Analysis and Applications

      This open access book provides a basic introduction to feature modelling and analysis as well as to the integration of AI methods with feature modelling.

      Feature Models
    • 2017

      Modeling Activation Processes in Human Memory for Tag Recommendations

      Using Models from Human Memory Theory to Implement Recommender Systems for Social Tagging and Microblogging Environments

      • 168 pages
      • 6 hours of reading

      The thesis explores the intersection of cognitive processes and social tagging systems, focusing on how users assign tags to resources. It critiques existing tag recommendation algorithms for their data-driven nature and proposes a cognitive-inspired approach based on the ACT-R model, which simulates memory activation. The findings reveal that understanding these activation processes enhances both social tag and hashtag recommendations. This research lays the groundwork for future studies on designing recommender systems that incorporate cognitive principles.

      Modeling Activation Processes in Human Memory for Tag Recommendations