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Personalized Web Research Group

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

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Month: February 2018

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 […]

Prediction of Project Success on Crowdfunding Portals

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

Crowdfunding is a way of funding with the support of large number of people who help by contributing small amounts of money. For […]

Personalized Hybrid Recommendation enhanced by Visual Features

08/02/201808/09/2019 Peter Gaspar PeWe.Data OA-2017

Recommender systems have become an essential part of the Web in various domains. They provide suggestions for users about which things to read, […]

Recognition of Similarities in User Behavior in Data Stream

08/02/201808/09/2019 Juraj Flamik PeWe.Data OA-2017

It would seem, that web site user behavior is highly unique and different from other users behavior. It is based on user current […]

Prediction of user return to website

08/02/201808/09/2019 Julia Krajcoviechova PeWe.Data OA-2017

In this work, we‘re discussing the topic prediction of user return to website. At present, the casual and one-time users are a group […]

Predicting customer satisfaction based on data from customer support centre

08/02/201808/09/2019 Michaela Kolesíková PeWe.Data OA-2017

My project is aimed at predicting customer satisfaction based on the conversation they had with a customer center agent. It is possible to […]

Automatic Text Summarization of Customer Reviews

08/02/201808/09/2019 Samuel Pecar PeWe.NN OA-2017

In recent years there were a lot of advances in natural language processing. Some of them, especially base techniques of processing text are […]

Interpretability and explainability of machne learning models

08/02/201808/09/2019 Lubomir Koprla PeWe.Data OA-2017

Once a machine learning algorithm is trained, it can be difficult to understand why it gives a particular response to a set of […]

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