PeWe (Personalized Web) was a research group at the Institute of Informatics, Information Systems and Software Engineering, Slovak University of Technology in Bratislava, Faculty of Informatics and Information Technologies (FIIT STU) established in 1999. The group focus was on web and user data processing towards adaptive and personalized approaches based on text and data analysis and machine learning in various domains including text mining and text processing, recommendation, user feedback analysis. For user implicit feedback we used also various sensors, mainly eyetrackers.
In 2020 several PeWe members became part of Kempelen Institute of Intelligent Technologies, the independent institute focused on researching intelligent technologies and financed by private sector.
This page is not maintained any more. It proudly presents more than 20 years of PeWe existence.
Ontožúr date and place confirmed
Our autumn PeWe workshop date and place is confirmed – Ontožúr is going to be held on Faculty of Informatics and Information Technologies […]13/10/2019
Participation at Conference for Truth and Trust Online 2019
A member of our PeWe research group, Róbert Móro, participated at the first edition of Conference for Truth and Trust Online, which took place […]08/10/2019
Participation at Dagstuhl seminar
A member of our PeWe research group, Ivan Srba, participated at Dagstuhl seminar Cybersafety Threats – from Deception to Aggression, which took place during […]
Poster presented at ROME Workshop at SIGIR 2019
A poster paper entitled Monant: Universal and Extensible Platform for Monitoring, Detection and Mitigation of Antisocial Behaviour was accepted to the Workshop on Reducing Online Misinformation […]
Generalization of User Characteristics Identification Methods Using Eyetracking
User characteristics can affect the success and effectiveness of performing tasks on the system. Based on the user model, it is possible to […]30/04/2019
My experience from IJCAI-ECAI 2018 [datalys]
In this post I summarize my experience from a conference I attended last year in July – IJCAI-ECAI 2018. It was held in […]20/04/2019
Inference of user characteristics based on scanpaths
Filling in questionnaires takes a lot of time to evaluate user characteristics. It has been shown, that i tis possible to determine the values […]01/04/2019
Identification of User Confusion in a Web Application
Web applications are daily visited by everyone of us. There is variety of users from novice ones to experts. While filling our needs […]29/03/2019