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Personalized Web Research Group

Faculty of Informatics and Information Technologies
Slovak University of Technology in Bratislava

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PeWe.Data OA-2017

Analysis of source code reading

08/02/201808/09/2019 Matus Tunder PeWe.Data OA-2017

The main aim of the thesis is to determine, how the order of functions in the source code will affect the program comprehension […]

Recommendation Taking into Account the Time Aspects of Users and Items

08/02/201808/09/2019 Elena Stefancova PeWe.Data OA-2017

The role of reference systems is based on previous user activity that predicts interest in new item s (e.g., Ecommerce Products). Most systems, […]

Interpretabilty of Machine Learning Models created by Clustering Algorithms

08/02/201808/09/2019 Jakub Janecek PeWe.Data OA-2017

Interpretability is a key characteristics of machine learning model, if our goal is to persuade experts from chosen domain, for which we propose […]

Aspect Based Sentiment Analysis

08/02/201808/09/2019 Rastislav Krchnavy PeWe.Data OA-2017

Text data produced on social networks like Facebook continuously increase. Reading and evaluating these posts manualy is very time consuming so our research […]

Improving Robustness Against Websites’ Changes During Web Data Extraction

08/02/201808/09/2019 Michal Kren PeWe.Data OA-2017

General approach to dealing with changes to the websites’ structure during web extraction is to optimize the XPath expressions before executing the wrapper. […]

Prediction of users’ personality traits based on task solving on the Web

08/02/201808/09/2019 Veronika Balazova PeWe.Data OA-2017

Nowadays, people use web applications and systems to a greater extent than in the past. They want to gain information, realize different services […]

Predicting User Retention in online enviroment

08/02/201808/09/2019 Patrik Berger PeWe.Data OA-2017

The recent growth of market and technology advancement led to the increse of amount of competitors providing online services to its users. In […]

Scalable Personalized Recommendation

08/02/201808/09/2019 Mario Hunka PeWe.Data OA-2017

Do you know that feeling when you dont know which movie to watch? The more movies are in offer the harder it is […]

Personalized Recommendation Taking into Account Visual Impacts

08/02/201808/09/2019 Martin Cernak PeWe.Data OA-2017

Recommender system is important part of the web nowadays. Amount of information on the web is just unsearchable and to find useful informations […]

Personalized recommendation considering visual influences

08/02/201808/09/2019 Marek Rostar PeWe.Data OA-2017

Recommender systems are typical solution to information overload of users. Recommendations created by these systems can contain most popular items, but it was […]

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