Searched for: Tintarev
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Dingjan, Mitchell (author)
Recommender systems focus on automatically surfacing suitable items for users from digital collections that are too large for the user to oversee themselves. A considerable body of work exists on surfacing items that match what a user liked in the past; this way, the recommender system will exploit its knowledge of a user's comfort zone. However...
master thesis 2020
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Bălan, Alex (author)
Nowadays, most users access the web through search engine portals. However, information needs can often be ill-defined or too broad to be solvable by a list of results the user has to scroll through, which implies that he is most likely required to refine the need by himself to reach the desired result. In recent years, researchers have...
master thesis 2019
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Prasad, Nivedita (author)
People like to travel in groups to visit places. Group recommendation systems can be used to recommend an itinerary of "places of interests" (POIs) in an ordered sequence. The order of POIs in the sequence can be explained to group members to increase acceptance of the recommended items. There is a possibility that explanations which reveal...
master thesis 2019
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Prajod, Pooja (author)
With the advent of social robots which are designed to be 'social', human-like interactions have become a necessity. It is natural for us to use a plethora of emotions to convey additional information or to make an interaction more engaging. But emotion expression is not commonly associated with robots. Many humanoid robots cannot generate...
master thesis 2019
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Shastry, Aishwarya (author)
With the advent of Internet and resulting data boom, Recommender Systems have come to rescue by filtering the information available on the internet by providing us with relevant information. These systems come handy when one wants to listen to songs, watch movies or even buy products on the Internet. Primarily, these recommender systems used...
master thesis 2019
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Yeh, Chia-Lun (author)
News is the main source of information about events in our neighborhood and around the globe. In an era of digital news, where sources vary in quality and news spreads fast, it is critical to understand what is being consumed by the public. Partisan news is news that favors certain political parties or ideologies. It is undesirable because news...
master thesis 2019
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Urumovska, Bojana (author)
The Natural Language Generation field has advanced in generating human readable reports for domain experts in various fields. Nevertheless, Natural Language Generation and anomaly detection techniques have not been used in the rail domain yet. Currently, data analysis and incident reporting for log files from the train control system are...
master thesis 2019
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Roy, Nirmal (author)
With the increasing popularity of mobile and voice-assisted, extracting short and precise answer passages to open-domain questions is becoming an increasingly important information retrieval (IR) task. The recently released large-scale corpus for answer passage retrieval—WikiPassageQA—was shown to be challenging for both traditional retrieval...
master thesis 2019
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Walterbos, Alex (author)
This thesis focuses on the field of Job Recommendation. Particularly, we focus on using implicit preferences exhibited by the job seeker in interactions with a web platform to propose an improved ranking algorithm for a job recommendation platform called Magnet.me. We also study evaluation of relevance, and evaluation of recommendation sorting...
master thesis 2019
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Nikolopoulos, Dionysis (author)
There is an increasing attention towards link prediction in complex networks both in physical and computer science communities. Particularly Online Social Networks (OSNs) are<br/>becoming the most popular platforms for information sharing, content creation and communication between users on the Internet. However, most of the research was done...
master thesis 2019
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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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Vaandrager, Willem (author)
In an increasing urbanizing world the need for efficient transportation methods is growing. Ridesharing, sharing a taxi trip with multiple passengers, has been proposed as an effective way to contribute towards solving the traffic problems that arise in city centers. Current solutions to the problem are often more focused on optimality, and a...
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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Lu, Feng (author)
Current research on personality and diversity based Recommender Systems (RecSys) are mostly separated. In most diversity-based Recommender Systems, researchers usually endeavored to achieve an optimal balance between accuracy and diversity while they commonly set a same diversity level for all users. Different diversity needs for users with...
master thesis 2018
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Sarder, Mehedi Anam (author)
Embodied Conversational Agents (ECA) seek to provide a more natural means of interaction for a user through verbal and non-verbal properties of human face-to-face communication. For this reason, these systems are found to bring benefits in different mental health related interventions. However, a key challenge in developing agents to replace the...
master thesis 2018
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van Zoest, Max (author)
This research is aimed at breaking online political filter bubbles. We present a system that uses artificial intelligence and human computation to automatically collect article metadata on political content and thereby enables diverse personalization on content-serving platforms. This way, exploring alternative viewpoints could become as simple...
master thesis 2018
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Rothweiler, Joost (author)
This research is aimed at breaking online political filter bubbles. We present a system that uses artificial intelligence and human computation to automatically collect article metadata on political content and thereby enables diverse personalization on content-serving platforms. This way, exploring alternative viewpoints could become as simple...
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.<br/><br/>In this thesis, we develop a method for the...
master thesis 2018
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Rensen, Tim (author)
LeQuest develops interactive e-training modules to improve the competence regarding medical technology of medical professionals. The medical technology is analysed by LeQuest to develop training modules, but the analysis process and writing associated information can be performed more efficiently. This would reduce the required time and...
master thesis 2018
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