Abstract : In this paper we describe a method for identification of a particular user in large information spaces such as the Web is. Our main goal is to be able to decide whether the particular information found on the Web is relevant to the person being looked-up or not by taking into account additional background knowledge about that person: his or her social network. Our method combines semantically as well as syntactically based metrics to compare different social networks acquired during the identification process. We describe evaluation of the proposed method and its comparison to the related works.
Max Bramer. Third IFIP TC12 International Conference on Artificial Intelligence (AI) / Held as Part of World Computer Congress (WCC), Sep 2010, Brisbane, Australia. Springer, IFIP Advances in Information and Communication Technology, AICT-331, pp.35-44, 2010, Artificial Intelligence in Theory and Practice III. 〈10.1007/978-3-642-15286-3_4〉
https://hal.inria.fr/hal-01054585
Contributeur : Hal Ifip
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Soumis le : jeudi 7 août 2014 - 15:28:03
Dernière modification le : vendredi 11 août 2017 - 11:17:11
Document(s) archivé(s) le : mercredi 26 novembre 2014 - 01:46:25
Katarína Kostková, Michal Barla, Mária Bieliková. Social Relationships as a Means for Identifying an Individual in Large Information Spaces. Max Bramer. Third IFIP TC12 International Conference on Artificial Intelligence (AI) / Held as Part of World Computer Congress (WCC), Sep 2010, Brisbane, Australia. Springer, IFIP Advances in Information and Communication Technology, AICT-331, pp.35-44, 2010, Artificial Intelligence in Theory and Practice III. 〈10.1007/978-3-642-15286-3_4〉. 〈hal-01054585〉
