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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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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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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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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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Hauff, C. (author), Kiseleva, Julia (author), Sanderson, Mark (author), Zamani, Hamed (author), Zhang, Yongfeng (author)An introduction to the special issue on conversational search and recommendation is presented in this article. While conversational search and recommendation has roots in early Information Retrieval (IR) research, the recent advances in automatic voice recognition and conversational agents have created increasing interest in this area. In...review 2021
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Barros Cândido, J. (author), Haesen, Jan (author), Aniche, Maurício (author), van Deursen, A. (author)Logging is a development practice that plays an important role in the operations and monitoring of complex systems. Developers place log statements in the source code and use log data to understand how the system behaves in production. Unfortunately, anticipating where to log during development is challenging. Previous studies show the...conference paper 2021
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Najafian, S. (author), Draws, T.A. (author), Barile, Francesco (author), Tkalcic, Marko (author), Yang, J. (author), Tintarev, N. (author)Recent research has shown that explanations serve as an important means to increase transparency in group recommendations while also increasing users' privacy concerns. However, it is currently unclear what personal and contextual factors affect users' privacy concerns about various types of personal information. This paper studies the effect...conference paper 2021
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Najafian, S. (author), Delic, Amra (author), Tkalcic, Marko (author), Tintarev, N. (author)Explanations can help users to better understand why items have been recommended. Additionally, explanations for group recommender systems need to consider further goals than single-user recommender systems. For example, we need to balance group members' need for privacy with their need for transparency, since a transparent explanation might...conference paper 2021
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Walraven, J.C. (author), Droogné, Didier (author), Grunewald, S. (author), Taerwe, Luc (author), Cotovanu, Bogdan (author), Rovers, John (author)An investigation is carried out into the applicability of self-compacting high-performance fiber concrete (HPFC) in foundations. A concrete mixture has been designed with a concrete cube strength of about 110 MPa. The concrete contains 60 kg/m<sup>3</sup> steel fibers. The properties of the HPFC developed are very suitable for structural...journal article 2021
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Helten, Katharina (author), Eckert, Claudia (author), Gericke, Kilian (author), Vermaas, P.E. (author)In order to ensure successful product development processes, manifold modelling approaches have been developed, which cover a wide range of aspects such as responsibilities, duration of activities and dependencies. Still, an industry standard does not exist. Users of process modelling approaches are driven by different targets depending on the...journal article 2021
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Grunewald, S. (author), Cotovanu, Bogdan (author), Rovers, John (author), Walraven, J.C. (author), Taerwe, Luc (author)An investigation was executed into the applicability of self-compacting high performance fiber concrete in foundations. The applied concrete has a concrete cube strength of about 110 MPa and contains 60 kg/m<sup>3</sup> hooked-end steel fibers (<i>L</i><sub><i>F</i></sub> = 30 mm, <i>D</i><sub><i>F</i></sub> = 0.38 mm). This publication consists...journal article 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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Thonet, Thibaut (author), Clinchant, Stéphane (author), Lassance, Carlos (author), Isufi, E. (author), Ma, Jiaqi (author), Xie, Yutong (author), Renders, Jean Michel (author), Bronstein, Michael (author)Graph neural networks (GNNs) have recently gained significant momentum in the recommendation community, demonstrating state-of-the-art performance in top-k recommendation and next-item recommendation. Despite promising results on GNN-based recommendation and search, most of the current GNN research remains essentially concentrated on more...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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Bueno Perez, M.R. (author), Eisemann, E. (author), Bidarra, Rafael (author)A narrative world (NW) is an environment which supports enacting a given story. Manually creating virtual NWs (e.g. for games and films) requires considerable creative and technical skills, in addition to a deep understanding of the story in question. Procedural generation methods, in turn, generally lack in creativity and have a hard time...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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Slokom, M. (author), Hanjalic, A. (author), Larson, M.A. (author)In this paper, we propose a new privacy solution for the data used to train a recommender system, i.e., the user–item matrix. The user–item matrix contains implicit information, which can be inferred using a classifier, leading to potential privacy violations. Our solution, called Personalized Blurring (PerBlur), is a simple, yet effective,...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