User Characteristics Acquisition from Logs with Semantics.
Anton Andrejko, Michal Barla, Mária Bieliková, Michal Tvarožek · 2007
Abstract. IVIany current web-based information systems need to adapt to individual user characteristics in order to streamline common tasks and enable users to use them efficiently. In this paper we describe an approach to user characteristics acquisition based on automatic analysis of user behavior thus minimizing the amount of necessary user involvement. We stress the importance of appropriate data collection and propose a novel approach to logging, in which we preserve the semantics of logged evelrts. This has a significant inrpact on the successive log analysis, which focuses on the estimation of user characteristics from user navigation.