In the field of multi-application personalization, several techniques have been proposed to support user modeling. None of them have sufficiently investigated the opportunity for a multi-application profile to evolve over time in order to avoid data inconsistency and the subsequent loss of income for website users and companies. In this paper, we propose a model addressing this issue and we focus in particular on user profile data propagation management. Data propagation is a way to reduce the amount of inconsistent user profile information over several applications, even in the case of temporary coalitions of applications as happens in Digital Ecosystems. To evaluate our model, we first extract user profiles using logs of the large real-life AOL search engine. Then, we simulate data propagation along semantically related user information. © 2012 IEEE

Viviani, M., Limam, L., Bennani, N., Egyed Zsigmond, E., Coquil, D. (2012). Multi-application personalization: Data propagation evaluation on a real-life search query log. In IEEE International Conference on Digital Ecosystems and Technologies (pp.1-6) [10.1109/DEST.2012.6227917].

Multi-application personalization: Data propagation evaluation on a real-life search query log

VIVIANI, MARCO
;
2012

Abstract

In the field of multi-application personalization, several techniques have been proposed to support user modeling. None of them have sufficiently investigated the opportunity for a multi-application profile to evolve over time in order to avoid data inconsistency and the subsequent loss of income for website users and companies. In this paper, we propose a model addressing this issue and we focus in particular on user profile data propagation management. Data propagation is a way to reduce the amount of inconsistent user profile information over several applications, even in the case of temporary coalitions of applications as happens in Digital Ecosystems. To evaluate our model, we first extract user profiles using logs of the large real-life AOL search engine. Then, we simulate data propagation along semantically related user information. © 2012 IEEE
Si
slide + paper
Computer Graphics and Computer-Aided Design; Computer Networks and Communications; Environmental Engineering
English
IEEE International Conference on Digital Ecosystems and Technologies: Complex Environment Engineering, DEST 18-20 June
978-146731703-0
Viviani, M., Limam, L., Bennani, N., Egyed Zsigmond, E., Coquil, D. (2012). Multi-application personalization: Data propagation evaluation on a real-life search query log. In IEEE International Conference on Digital Ecosystems and Technologies (pp.1-6) [10.1109/DEST.2012.6227917].
Viviani, M; Limam, L; Bennani, N; Egyed Zsigmond, E; Coquil, D
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/141377
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