PeWe Family

What we do?

PeWe (Personalized Web) is a research group at the Institute of Informatics and Software Engineering, Slovak University of Technology, Faculty of Informatics and Information Technologies established in 1999. It is concerned to the new trends in design, development and use of adaptive social web-based systems with semantics, which allow personalized presentation of information in various domains. Everybody interested in adaptation and personalization questions in web-based systems, adaptive, semantic and social web is welcome.

In spring term of 2016/17 meetings will take place in the Babbage Lecture Room (-1.57) at the Faculty of Informatics and Information Technologies every Thursday at 10:00. Meet-up time is 9:50.

Our PeWe Seminar again in Thursday morning

In spring term of 2016/17 meetings will take place in the Babbage Lecture Room (-1.57) at the Faculty of Informatics and Information Technologies […]

14/02/2017

Five golden rules for writing a good scientific paper

Now is time for writing papers. Preferably for international scientific conferences and journals, but mostly at first for our student research conference IIT.SRC. […]

16/01/2017

Our poster on measuring visual search ability accepted to IUI 2017 conference

Our poster entitled Measuring Visual Search Ability on the Web (Mária Dragúňová, Róbert Móro, Mária Bieliková) has been accepted to the International Conference […]

12/01/2017

Student Personality 2015/16 of the Slovakia is our PeWe member

Student Personality 2015/16 of the Slovakia in the category of math, physics and computer science was awarded to Ivan Srba. Congratulations Ivko!

30/12/2016

Sentigrade – how it all began?

Sentigrade is a result of a cooperation of Faculty of informatics and information technologies STU in Bratislava and PR company Seesame. It automatically […]

01/02/2017

Askalot Successfully Deployed at MOOC System edX

In September 2013, we started our work on a novel concept of organizational and educational CQA (Community Question Answering) system Askalot. After four […]

23/01/2017

Python For Data Science at edX [datalys]

As a researcher in area of information technologies you have to work with data somehow. Data are everywhere and we must be able […]

19/01/2017

Machine Learning at Cousera [datalys]

Nowadays everyone is into Artificial Intelligence and Machine Learning. Although they have become very popular, there are still many of us uncertain of […]

27/12/2016