Web applications are daily visited by everyone of us. There is variety of users from novice ones to experts. While filling our needs […]
Identification of User Confusion in a Web Application
Month: March 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 […]
NL-FIIT at SemEval-2018 Task 3: Emotion Detection From Conversational Triplets Using Hierarchical Encoders
In this paper, we present our system submission for the EmoContext, the third task of SemEval 2019 workshop. Our solution is a hierarchical […]
Personalized Web Recommendations
The development of the internet and technology has caused a huge increase in data that has become untenable for the user. Solving this […]
Meta-recommending: Adaptive Selection of Personalized Recommendation Algorithms
Recommender systems have become essential part of the Web in many domains. Research in this topic in the last few years led to design […]
Probabilistic Models for Analysis of Performed Task based on Eye Movement
Gaze and visual patterns of observer while looking on visual stimuli is affected by 3 factors. First factor (bottom-up) is related to visual […]
Automated User Interface Flaws Detection Based on Eye Movements Analysis
The master’s thesis explores aspects of human-computer interaction and user experience (UX). It describes current state of knowledge in field of psychology applicable […]
Automatic Text Summarization of Customer Reviews
In recent years, the number of texts has grown rapidly. For example, most review-based portals, like Yelp or Amazon, contain thousands of user-generated […]
Poetry Generation via Deep Neural Networks
Natural language generation is one of the many problems that computer linguistics addresses. Different types of generation include generating CVs, weather forecasts, dialogues, […]
Hybrid recommendation
Recommendation is scientific department which importance correlates with the number of options user have when he wants to choose a product in random […]