A Layered Approach to Context-Dependent User Modelling

Elena Vildjiounaite, Sanna Kallio

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    6 Citations (Scopus)

    Abstract

    This works presents a method for explicit acquisition of context-dependent user preferences (preferences which change depending on a user situation, e.g., higher interest in outdoor activities if it is sunny than if it is raining) for Smart Home - intelligent environment, which recognizes contexts of its inhabitants (such as presence of people, activities, events, weather etc) via home and mobile devices and provides personalized proactive support to the users. Since a set of personally important situations, which affect user preferences, is user-dependent, and since many situations can be described only in fuzzy terms, we provide users with an easy way to develop personal context ontology and to map it fuzzily into common ontology via GUI. Backward mapping, by estimating the probability of occurrence of a user-defined situation, allows retrieval of preferences from all components of the user model (7 refs.)
    Original languageEnglish
    Title of host publicationAdvances in Information Retrieval
    Subtitle of host publication European Conference on Information Retrieval, ECIR 2007
    PublisherSpringer
    Pages749-752
    ISBN (Electronic)978-3-540-71496-5
    ISBN (Print)978-3-540-71494-1
    DOIs
    Publication statusPublished - 2007
    MoE publication typeA4 Article in a conference publication
    Event29th European Conference on IR Research, ECIR 2007 - Rome, Italy
    Duration: 2 Apr 20075 Apr 2007

    Publication series

    SeriesLecture Notes in Computer Science
    Volume4425
    ISSN0302-9743

    Conference

    Conference29th European Conference on IR Research, ECIR 2007
    Abbreviated titleECIR 2007
    Country/TerritoryItaly
    CityRome
    Period2/04/075/04/07

    Keywords

    • fuzzy set theory
    • graphical user interfaces
    • home computing
    • information retrieval
    • ontologies (artificial intelligence)
    • user modelling

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