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Ionescu, Andrei (author)Developers do not want to reinvent the wheel when developing software systems. Open-source software repositories are packed with resources that may assist developers with their work. Since Github enabled repository tagging, a new opportunity arose to help developers find the needed resources tailored to their needs. The current work proposes two...bachelor thesis 2022
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Koper ook geschreven Jansen, Melle (author)A recommendation algorithm aims to predict the quality of a user's future interaction with certain items based on their previous interactions. As research progresses, these algorithms are becoming increasingly more complicated with the use of machine learning and neural networks. This paper looks into a more simple solution. The recommendation...bachelor thesis 2022
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- Helic, Denis (author), Gadiraju, Ujwal (author), Tkalcic, Marko (author) contribution to periodical 2022
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Maddila, C.S. (author), Shanbhogue, Suhas (author), Agrawal, Apoorva (author), Zimmermann, Thomas (author), Bansal, Chetan (author), Forsgren, Nicole (author), Agrawal, Divyanshu (author), Herzig, Kim (author), van Deursen, A. (author)Software development is information-dense knowledge work that requires collaboration with other developers and awareness of artifacts such as work items, pull requests, and file changes. With the speed of development increasing, information overload and information discovery are challenges for people developing and maintaining these systems....conference paper 2022
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Aiolli, Fabio (author), Conti, M. (author), Picek, S. (author), Polato, M. (author)Nowadays, online services, like e-commerce or streaming services, provide a personalized user experience through recommender systems. Recommender systems are built upon a vast amount of data about users/items acquired by the services. Such knowledge represents an invaluable resource. However, commonly, part of this knowledge is public and can...journal article 2022
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Muetzel, Hannah (author)When discussing media, parasocial phenomena is mentioned. Audience members naturally partake in parasocial phenomena when consuming media and empathizing with media figures. Viewers who form relationships with a media figure despite never meeting them are said to be in a parasocial relationship. On YouTube, examples of parasocial interactions...master thesis 2021
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Bánsági, Aurél (author)In group recommendation, a key question is how preferences from individuals should be obtained and then aggregated into a group outcome. Collecting individual preferences can be done through implicit or explicit means, but there is insufficient research available on what option is optimal. For comparing different possible aggregation strategies,...master thesis 2021
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van Ramshorst, Arjo (author)In recent years, recommender systems have become a fundamental part of our online experience. Users rely on such systems in situations with many potential choices, such as watching a movie on a streaming service, reading a blog post, or listening to a song. Traditionally, these systems use techniques such as collaborative filtering and content...master thesis 2021
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Bobde, Sharwin (author)Using Recommender Systems with Evolutionary Algorithms is an extremely niche domain. It holds the key to enabling new user interaction designs, where users can effectively configure their experience with a Recommender System. This thesis answers important questions about the scientific aspects of its application to large-scale data through a...master thesis 2021
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Kim, Jaehun (author)Machine learning (ML) has become a core technology for many real-world applications. Modern ML models are applied to unprecedentedly complex and difficult challenges, including very large and subjective problems. For instance, applications towards multimedia understanding have been advanced substantially. Here, it is already prevalent that...doctoral thesis 2021
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Ebrahimi Fard, A. (author)The phenomenon of rumour spreading refers to a collective process where people participate in the transmission of unverified and relevant information to make sense of the ambiguous, dangerous, or threatening situation. The dissemination of rumours on a large scale no matter with what purpose could precipitate catastrophic repercussions. This...doctoral thesis 2021
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Vrijenhoek, Sanne (author), Kaya, M. (author), Metoui, N. (author), Möller, Judith (author), Odijk, Daan (author), Helberger, Natali (author)News recommenders help users to find relevant online content and have the potential to fulfilla crucial role in a democratic society, directing the scarce attention of citizens towards the information that is most important to them. Simultaneously, recent concerns about so-called filter bubbles, misinformation and selective exposure are...conference paper 2021
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Musto, Cataldo (author), Tintarev, N. (author), Inel, O. (author), Polignano, Marco (author), Semeraro, Giovanni (author), Ziegler, Jürgen (author)Adaptive and personalized systems have become pervasive technologies that are gradually playing an increasingly important role in our daily lives. Indeed, we are now used to interact every day with algorithms that help us in several scenarios, ranging from services that suggest us music to be listened to or movies to be watched, to personal...conference paper 2021
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Li, Roger Zhe (author), Urbano, Julián (author), Hanjalic, A. (author)In a collaborative-filtering recommendation scenario, biases in the data will likely propagate in the learned recommendations. In this paper we focus on the so-called mainstream bias: the tendency of a recommender system to provide better recommendations to users who have a mainstream taste, as opposed to non-mainstream users. We propose NAECF,...conference paper 2021
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Li, Roger Zhe (author), Urbano, Julián (author), Hanjalic, A. (author)Direct optimization of IR metrics has often been adopted as an approach to devise and develop ranking-based recommender systems. Most methods following this approach (e.g. TFMAP, CLiMF, Top-N-Rank) aim at optimizing the same metric being used for evaluation, under the assumption that this will lead to the best performance. A number of studies...conference paper 2021
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Mulder, M. (author), Inel, O. (author), Oosterman, J.E.G. (author), Tintarev, N. (author)Diversity in personalized news recommender systems is often defined as dissimilarity, and operationalized based on topic diversity (e.g., corona versus farmers strike). Diversity in news media, however, is understood as multiperspectivity (e.g., different opinions on corona measures), and arguably a key responsibility of the press in a...conference paper 2021
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Salmi, Salim (author), Mérelle, Saskia (author), Brinkman, W.P. (author)Background: The working environment of a suicide prevention helpline requires high emotional and cognitive awareness from chat counselors. A shared opinion among counselors is that as a chat conversation becomes more difficult, it takes more effort and a longer amount of time to compose a response, which, in turn, can lead to writer's block....journal article 2021
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- Abou Eddahab-Burke, F. (author) doctoral thesis 2020
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Mulder, Mats (author)Previous research on diversity in recommender systems define diversity as the opposite of similarity and propose methods that are based on topic diversity. Diversity in news media, however, is understood as multiperspectivity and scholars generally agree that fostering diversity is the key responsibility of the press in a democratic society....master thesis 2020
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Gong, B. (author)With advancements in Internet and technology, it has become increasingly easy for people to enjoy music. Users are able to access millions of songs through music streaming services like Spotify, Pandora, and Deezer. Access to such large catalogs created a need for relevant song recommendations. Music recommender systems assist users in finding...master thesis 2020