Recognizing user profile within Slovenian Digital Library portal dLib.si

摘要

Knowing your user and their habits has become a crucial part of web development. To provide better user experience, the web designers and programmers must know exactly how their users behave. In this thesis I have defined the minimum number of relevant user actions made on Digital Library of Slovenia – dLib.si to classify user’s profile and their fields of interest. The final result of the thesis is a usable framework with which the website owners can plan further development of the portal by analysing statistical database.