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Auflistung nach Schlagwort "User Modeling"

1 - 2 von 2
  • Konferenzbeitrag
    Modeling User Interaction at the Convergence of Filtering Mechanisms, Recommender Algorithms and Advisory Components
    (Mensch und Computer 2021 - Tagungsband, 2021) Kleemann, Timm; Wagner, Magdalena; Loepp, Benedikt; Ziegler, Jürgen
    A variety of methods is used nowadays to reduce the complexity of product search on e-commerce platforms, allowing users, for example, to specify exactly the features a product should have, but also, just to follow the recommendations automatically generated by the system. While such decision aids are popular with system providers, research to date has mostly focused on individual methods rather than their combination. To close this gap, we propose to support users in choosing the right method for the current situation. As a first step, we report in this paper a user study with a fictitious online shop in which users were able to flexibly use filter mechanisms, rely on recommendations, or follow the guidance of a dialog-based product advisor. We show that from the analysis of the interaction behavior, a model can be derived that allows predicting which of these decision aids is most useful depending on the user’s situation, and how this is affected by demographics and personality.
  • Konferenzbeitrag
    Towards an Automatic Service Composition for Generation of User-Sensitive Mashups
    (16th Workshop on Adaptivity and User Modeling in Interactive Systems, 2008) Fischer, Thomas; Bakalov, Fedor; Nauerz, Andreas
    In today’s Web 2.0, mashups allow users to bring together data and services from various Web applications in order to create a new integrated tool that serves their needs. Nowadays, there is an increasing number of frameworks that provide users with a GUI environment to manually assemble different data sources and services into a mashup. However, in order to create such tools, the user must possess a certain level of technical knowledge. In this paper, we introduce a framework that automatically selects and combines Web services to create mashups. We also describe the user model that stores knowledge about user interests and expertise, which are used by the framework in order to generate mashups tailored to the needs of individual users.