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Communication Dans Un Congrès Année : 2012

Multi-application Personalization: Data Propagation Evaluation on a Real-life Search Query Log

Résumé

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, as a way to reduce the amount of inconsistent user profile information over several applications. 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.
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Dates et versions

hal-01352989 , version 1 (10-08-2016)

Identifiants

Citer

Marco Viviani, Nadia Bennani, Elod Egyed-Zsigmond, Lyes Limam, David Coquil. Multi-application Personalization: Data Propagation Evaluation on a Real-life Search Query Log. 6th IEEE International Conference on Digital Ecosystems Technologies-Complex Environment Engineering, Jun 2012, Campione, Italy. pp.1-6, ⟨10.1109/DEST.2012.6227917⟩. ⟨hal-01352989⟩
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