Ubiquitous fuzzy user modeling for multi-application environments by mining socially enhanced online traces

Abstract

In this paper, we propose an interoperable ubiquitous user model which illustrates different aspects of the individual's interests, preferences and personality. It is constructed by mining socially enhanced online traces of the user and aggregating the partially obtained profiles. Those traces include actions performed and relationships established in the social web accounts in addition to the local machine traces such as bookmarks and web history. Moreover, we claim that mining the content in a context-aware approach and computing fuzziness values during the process results in a more reliable user profile. © 2012 Springer-Verlag.