elektronická verzia publikácie - FIIT STU

Annual report 2011 91−−−−−−−−−−−−−−−Perdík, Pavol: Using Neural Networks for Reinforcement Learning.Supervisor: P. LackoPerháč, Ján: Open Model of Dynamics of Object. Supervisor: A. MrázikRakovský, Adrián: Interactive Information Retrieval in the Semantic Web.Supervisor: M. TvarožekRástočný, Karol: Semantic Web Navigation Based on Adaptive Views.Supervisor: M. TvarožekRepka, Lukáš: Parallel Game Tree Search on Cell Broadband Engine Architecture.Supervisor: P. LackoSabo, Štefan: Online Gathering of Information from Text Sources.Supervisor: A. Bou EzzeddineŠtudent, Peter: Using Implicit Feedback in Recommendation Systems.Supervisor: J. SuchalTóth, Ján: Archivation of Electronic Signature based on XAdES with Support ofLong-Term Verification. Supervisor: J. DobiasTuček, Vladimír: Aspect-Oriented Design Pattern Identification.Supervisor: V. VranićUrbanec, Maroš: Decision Methods in Three-Dimensional Robotic Soccer.Supervisor: I. KapustíkValčuha, Matej: Information Search Considering the User’s Interest and Groups ofSimilar Users. Supervisor: P. NávratValo, Jozef: Implementation of a Software Agent (Bot) for PC Game.Supervisor: M. ZávodskýVirik, Martin: Automated Recognition of Writing Style in Blogs.Supervisor: M. ŠimkoZdechovan, Ján: A Contribution to Change Modeling in Aspect-Oriented Way.Supervisor: V. VranićZvalo, Jozef: Parallel Game Tree Search on Multicore Processor with SharedMemory. Supervisor: P. LackoDoctoral (PhD.) ThesesStudent name: Michal BarlaDegree program: Software EngineeringThesis title: Towards Social-based User Modeling and PersonalizationSupervisor: Mária Bieliková, ProfessorDefended on: February 10, 2011Annotation: As the Web grows and the amount of available information increases,new problems such as information overload or lost-in-hyperspaceproblem emerge. The solution is to shift from “one-size-fits-all” approachand to provide personalized surfing experience, which wouldtake into account differences among users. These differences are capturedin a user model, a structure holding all relevant user-related information.We present contributions in both data collection andprocessing stages of user modeling process, focusing on open corpus