2004
DOI: 10.1007/978-3-540-24618-3_28
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Fuzzy Group Models for Adaptation in Cooperative Information Retrieval Contexts

Abstract: 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 qu… Show more

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Cited by 9 publications
(2 citation statements)
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“…On the other hand, the k-NN algorithm and neural networks would be the most suitable supervised techniques. Neural networks are commonly used to predict user behavior (Sicilia and Garcia, 2004), but as behavior is not to be predicted, the best technique would be a k-NN algorithm. K-NN is a predictive technique suitable for classification (Friedman et al, 1975).…”
Section: Conclusion and Future Research: Exploring Predictive Functimentioning
confidence: 99%
“…On the other hand, the k-NN algorithm and neural networks would be the most suitable supervised techniques. Neural networks are commonly used to predict user behavior (Sicilia and Garcia, 2004), but as behavior is not to be predicted, the best technique would be a k-NN algorithm. K-NN is a predictive technique suitable for classification (Friedman et al, 1975).…”
Section: Conclusion and Future Research: Exploring Predictive Functimentioning
confidence: 99%
“…The interaction in informal settings can be used to derive social models (Sicilia & García, 2004) The interactions in discussion can be used to measure the degree of 'proximity' between members. The rationale of the activities can be justified in terms of SocialTies inside SocialNetworks.…”
Section: (B) Socioculturalmentioning
confidence: 99%