Searched for: contributor:"Houben, Geert-Jan (graduation committee)"
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Rennings, Daan (author)
After surpassing human performance in the fields of Computer Vision, Speech Recognition and NLP, deep learning has been gaining scientific ground in IR. In spite of the sheer amount of publications that have proposed so-called neural IR approaches over the past decade, the field has not achieved the kind of progress seen in related fields. Over...
master thesis 2019
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van den Bercken, Laurens (author)
Health literacy, i.e. the ability to read and understand medical text, is a relevant component of public health. Unfortunately, many medical texts are hard to grasp by the general population as they are targeted at highly-skilled health professionals and use complex language and domain-specific terms. Here, automatic text simplification making...
master thesis 2019
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Milias, Vasileios (author)
The digital representations of physical places, known as Points-Of-Interest (POIs), have been the core element of various studies and platforms such as online mapping services (e.g. Google Maps) and location based social networks (e.g. Foursquare). The use of POIs as proxies of the real-world-places facilitates the study of places, urban...
master thesis 2018
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Huang, Owen (author)
Human Computation (HC) has established itself to be a powerful tool for carrying out certain simple and repetitive tasks in the form of microtasks, which to this day are still difficult for a machine to automate.
With the latest increase in interest in machine learning, HC has similarly gotten more attention as a popular way to acquire...
master thesis 2018
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Kreuk, Laura (author)
Consumers share their experiences or opinion about products or brands in various channels nowadays, for example on review websites or social media. Sentiment analysis is used to predict the sentiment of text from consumers about these products or brands in order to understand the tone of customers towards these products or brands. This thesis...
master thesis 2018
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Balayn, Agathe (author)
Training machine learning (ML) models for natural language processing usually requires lots of data that is often acquired through crowdsourcing. In crowdsourcing, crowd workers annotate data samples according to one or more properties, such as the sentiment of a sentence, the violence of a video segment, the aesthetics of an image, ... To...
master thesis 2018
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de Böck, Bas (author)
Non-recurrent traffic events, consisting of events of an unpredictable nature such as incidents and vehicle breakdowns, can either directly or indirectly influence road traffic. A better understanding of these events could prove beneficial towards improving a multitude of facets concerning the management of the Dutch road network. Traditional...
master thesis 2018
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Ghanmode, Ishan (author)
In today’s digital world, users are often confronted with an abundance of information. Whether the user is looking to compare online prices for products, searching for new movies to watch or music to listen, the available information at hand exceeds the amount of information which the user wants to consider before making a choice. For this,...
master thesis 2018
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Kumar, Jaya (author)
In recent years, personalized recommender systems have been facing criticism in research due to their ability to trap users in their circle of choices, called "filter-bubble", thereby limiting their exposure to novel content. In solving the issue of filter-bubble, past research has focused on providing explanations to users about how a...
master thesis 2018
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Rikarno Putra, Sindunuraga (author)
Web search has become a convenient option for seeking information related to learning, therefore understanding how to facilitate human learning through a search engine has the potential to improve the quality of informal education and online learning. One less understood aspect of search as learning is the effect of collaboration in a search...
master thesis 2018
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Vliegenthart, Daniël (author)
Named Entity Recognition (NER) for rare long-tail entities as e.g. often found in domain-specific scientific publications is a challenging task, as typically the extensive training data and test data for fine-tuning NER algorithms is lacking. Recent approaches presented promising solutions relying on training NER algorithms in a iterative...
master thesis 2018
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Dimitrova, Aneliya (author)
With the increase of online education, a good description of learning resources has become vital for educational resource sharing and reuse. Resource description has been under the spotlight in recent years. Educational platforms can benefit from good resource organisation and description, thereby providing a higher quality of services and...
master thesis 2018
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Grooff, Alexander (author)
Since the introduction of Massive Online Open Courses (MOOCs) in 2008, the number of MOOCs offered by universities has increased enormously. Over 700 universities offer a total of 5924 MOOCs. Each MOOC holds a sequence of 10 to 140 videos and are meant to help online learners understand a given topic. These videos are intended to be watched in a...
master thesis 2018
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Verdoorn, Joost (author)
Memes are theorized to be the building blocks of culture. Due to a lack of empirical validation, however, the theory of memes — memetics — remains in its infancy. We argue that one of the missing components for such empirical validation is a method for the large-scale identification of memes.

In this thesis, we develop a method for the...
master thesis 2018
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Valle Torre, Manuel (author)
In this thesis, we focus on database query processing for so-called experience items, i.e., items commonly encountered in E-Commerce systems such as books, games or movies which are better described by their perceived subjective consumption experience, or Perceptual Features, than by factual meta-data normally used in SQL-style queries. To...
master thesis 2018
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Zegers, Jan (author)
Knowledge discovery and data mining (KDD) is the process that extracts new knowledge from data. Data scientists program their solutions of their KDD challenges in data mining programming scripts. Data mining programming scripts contain multiple or all steps of the KDD process. In other words, these scripts start with data and end with knowledge....
master thesis 2017
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Tang, Boyang (author)
Engagement is critical for academic learning. It's commonly believed that motivating students to learn is crucial in education. We think that by providing students some interesting content based on what they are learning is a good idea. Since TED Talks share attractive new ideas, we are planning to motivate students by recommending TED Talks...
master thesis 2017
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de Goede, Jochem (author)
This thesis improves sharing of code and reproducibility (S&R) in research for massive open online courses (MOOCs). Reproducibility is recreating an experiment by a different researcher. Science in general struggles with repro- ducibility. MOOC experiments often contain useful code that could be used by other researchers, but that code is...
master thesis 2017
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Bapat, Rucha (author)
Chatbots are the text based conversational agents with which users interact in natural language. They are becoming more and more popular with the immense growth in messaging apps and tools to develop text based conversational agents. Despite of advances in Artificial Intelligence and Natural Language Processing, chatbots still struggle in...
master thesis 2017
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Ye, Mengmeng (author)
Nowadays, more and more products are sold online. Under popular products, there are normally hundreds or even thousands of reviews left by the previous customers. These reviews help potential buyers understand the products better and make the purchase decision. However, most shopping websites only give an overview score (e.g. 3 star out of 5) of...
master thesis 2017
Searched for: contributor:"Houben, Geert-Jan (graduation committee)"
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