Dovoľujeme si oznámiť, že dňa
10. 2. 2011 o 13:30
sa bude konať na Fakulte informatiky a informačných technológií STU v Bratislave
v miestnosti D 220 obhajoba dizertačnej práce
Ing. Michala Barlu
Názov dizertačnej práce:
Towards Social-based User Modeling and Personalization
Odbor: 9.2.5 Softvérové inžinierstvo
Školiteľ: prof. Ing. Mária Bieliková, PhD., Fakulta informatiky a informačných technológií STU v Bratislave
Oponenti dizertačnej práce:
doc. RNDr. Petr Šaloun, Ph.D., Přírodovědecká fakulta OU v Ostrave
doc. Ing. Kristína Machová, Ph.D., Fakulta elektrotechniky a informatiky TU v Košiciach
As the Web grows and the amount of available information increases, new problems such as information overload or lost-in-hyperspace problem emerge. The solution is to shift from "one-size-fits-all" approach and to provide personalized surfing experience, which would take into account differences among users. These differences are captured in a user model, a structure holding all relevant user-related information. We present contributions in both data collection and processing stages of user modeling process, focusing on open corpus web-based systems, where the content can be dynamically added or changed and we have no content available in the design stage of the web-based system. We introduce two methods falling within the scope of data collection stage, a method for comprehensive logging of user activity on the Web with preserved semantics, which combines client side and server side logging into a stream of user events with clearly dened meaning, and a method for capturing logs of "wild" Web surfing based on a specialized proxy sever. The second group of methods, devoted to actual user model creation within an open corpus environment consists of a method for user model inference based on rules expressing navigational patterns, a method for term-based open corpus user modeling, which can be applied to capture user's interest across the third-party web-sites and web-based systems. We proposed also a method for finding relations between terms based on folksonomies, which supports our term-based user modeling approach. The proposed methods were evaluated by means of software tools that were incorporated in research projects aimed at intelligent information presentation.
Autoreferát dizertačnej práce zaslaný do vedeckého časopisu Information Sciences and Technologies - Bulletin of ACM Slovakia.
Dizertačná práca je k nahliadnutiu na Študijnom oddelení FIIT STU.