1,721,014 research outputs found

    Strategies for personalizing the access to news servers

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    In this paper we discuss how we applied personalization techniques to the problem of accessing news servers on the internet. We describe the user modeling techniques that we adopted and we show that imposing a (shallow) structure to the database of news allowed us to dene strategies for personalizing the detail level of the presentation

    Focusing Abductive Diagnosis

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    The aim of this paper is to present a novel approach to the problem of focusing abductive (model-based) diagnosis. The approach we propose is based on the use of compiled knowledge and, specifically, on the possibility of associating with each entity in a model a necessary condition for the presence of the entity itself. Such conditions embed the problem solving strategy and their evaluation on the data characterizing the problem to be solved allows us to prune the search space, yet preserving the completeness of the abductive process (in other words, only useless search is avoided). The use of compiled knowledge thus allows us to mitigate the problems arising from the computational complexity of the model based approach. The final part of the paper is devoted to a comparison of our approach with other ones and to a brief discussion on the role of knowledge compilation in model-based diagnosis

    Evaluation of an on-vehicle adaptive tourist service

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    This paper describes methodology and results obtained in the evaluation of a system that provides personalized tourist information onboard cars. With a PC simulator, using a layered sampling strategy and strong statistic metrics to compare the system suggestions to the users answers, we analyzed several dimensions of adaptation (user preferences, context risk, etc.)
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