PeWe Family

What we do?

PeWe (Personalized Web) is 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. It is concerned to the new trends in adaptive social web with semantics, which allow text and data analysis, processing and personalized presentation of information in various domains. We research methods of text and data analysis, strongly focused on machine learning in various domains including text mining and text processing, recommendation, user feedback analysis. For user implicit feedback we use also various sensors, mainly eyetrackers. Everybody interested in is welcome.

In spring term of 2018/19 meetings will take place every Wednesday at 13:40. We have either joint seminar (room will be announced), or three seminars on main PeWe topics:
Datalys (1.31 – software studio),
User Experience and Interaction (2.06 – meeting room) and
Neural Networks (4.08 – meeting room).

Full paper accepted to UMAP 2019 conference

A full paper entitled Impact of English Reading Comprehension Abilities on Processing Magazine Style Narrative Visualizations and Implications for Personalization was accepted to the […]

18/03/2019

A new paper in the Computers & Education

Our group has a new publication record. It is a paper which was created as one of many results achieved within our cooperation […]

12/03/2019

Ontožúr date and place confirmed

Our spring PeWe workshop date and place is confirmed – Ontožúr is going to be held on Faculty of Informatics and Information Technologies […]

A new paper in the Journal on Data Semantics

Our group has a new publication record. It is a paper based primarily on our long term research in the domain of the […]

06/10/2018

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

Joke generation using Deep Neural Networks

In the last few decades, the development of informatics and information technology has brought new exploration opportunities. In particular, the development of artificial […]