Abstract
Cooperation in information retrieval contexts can be used to share query results inside groups of individuals with common objectives, provided that all of them are aware of each other. The strength of the social relationships between group members is in most cases a matter of comparative degree, and thus relationships can be modelled through fuzzy conceptual associations. These associations can then be used to implement personalized features, aimed at improving the interaction of the user with the query tool. In this paper, an approach to modelling imprecise relationships between users in the context of information retrieval is described, along with a concrete case study implemented as a wrapper of a conventional search engine, using a fuzzy database to store the model of the group members.
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Sicilia, MÁ., García, E. (2004). Fuzzy Group Models for Adaptation in Cooperative Information Retrieval Contexts. In: Van Emde Boas, P., Pokorný, J., Bieliková, M., Štuller, J. (eds) SOFSEM 2004: Theory and Practice of Computer Science. SOFSEM 2004. Lecture Notes in Computer Science, vol 2932. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24618-3_28
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DOI: https://doi.org/10.1007/978-3-540-24618-3_28
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