User characteristics acquisition from logs with semantics

Anton Andrejko, Michal Barla, Mária Bieliková, and Michal Tvarožek

Many 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 events. This has a significant impact on the successive log analysis, which focuses on the estimation of user characteristics from user navigation.

PDF: Preprint
BIB:

@inproceedings{andrejko2007isim,
  Author = {Andrejko, Anton and Barla, Michal and Bielikov\'{a}, M\'{a}ria and Tvaro\v{z}ek, Michal},
  Title = {User Characteristics Acquisition from Logs with Semantics},
  BookTitle = {ISIM 2007 Information Systems and Formal Models: 
               10th International Conference on Information System Implementation and Modeling},
  Pages = {103-110},
  Year = {2007}
}

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