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Li, Roger Zhe (author), Urbano, Julián (author), Hanjalic, A. (author)Mainstream bias, where some users receive poor recommendations because their preferences are uncommon or simply because they are less active, is an important aspect to consider regarding fairness in recommender systems. Existing methods to mitigate mainstream bias do not explicitly model the importance of these non-mainstream users or, when...conference paper 2023
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Subramanyam, S. (author), Viola, Irene (author), Jansen, Jack (author), Alexiou, Evangelos (author), Hanjalic, A. (author), Cesar, Pablo (author)Technological advances in head-mounted displays and novel real-time 3D acquisition and reconstruction solutions have fostered the development of 6 Degrees of Freedom (6DoF) teleimmersive systems for social VR applications. Point clouds have emerged as a popular format for such applications, owing to their simplicity and versatility; yet,...conference paper 2022
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Jonker, C.M. (author), Murukannaiah, P.K. (author), Verwaart, D. (author)The bargaining power of prosumers in a market can vary significantly. Participants can range from industrial participants to powerful and less powerful citizens. Existing trade mechanisms in such markets, e.g., in rural India’s energy trade market, show occurrences of discrimination, exclusion, and unfairness. We study how discrimination...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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Urbano, Julián (author), Corsi, M. (author), Hanjalic, A. (author)Statistical significance tests are the main tool that IR practitioners use to determine the reliability of their experimental evaluation results. The question of which test behaves best with IR evaluation data has been around for decades, and has seen all kinds of results and recommendations. Definitive answer to this question has recently...conference paper 2021
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Wang, X. (author), Qiao, T. (author), Zhu, Jihua (author), Hanjalic, A. (author), Scharenborg, O.E. (author)An estimated half of the world’s languages do not have a written form, making it impossible for these languages to benefit from any existing text-based technologies. In this paper, a speech-to-image generation (S2IG) framework is proposed which translates speech descriptions to photo-realistic images without using any text information, thus...conference paper 2020
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Zhan, X. (author), Hanjalic, A. (author), Wang, H. (author)In this paper, we explore how to effectively suppress the diffusion of (mis)information via blocking/removing the temporal contacts between selected node pairs. Information diffusion can be modelled as, e.g., an SI (Susceptible-Infected) spreading process, on a temporal social network: an infected (information possessing) node spreads the...conference paper 2020
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Wang, Tan (author), Hanjalic, A. (author), Xu, Xing (author), Shen, Heng Tao (author), Yang, Yang (author), Song, Jingkuan (author)A major challenge in matching images and text is that they have intrinsically different data distributions and feature representations. Most existing approaches are based either on embedding or classification, the first one mapping image and text instances into a common embedding space for distance measuring, and the second one regarding...conference paper 2019
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Manolios, S. (author), Hanjalic, A. (author), Liem, C.C.S. (author)The feld of recommender systems has a lot to gain from the feld of psychology. Indeed, many psychology researchers have investigated relations between models that describe humans and consumption preferences. One example of this is personality, which has been shown to be a valid construct to describe people. As a consequence, personality-based...conference paper 2019
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Slokom, M. (author), Larson, M.A. (author), Hanjalic, A. (author)Data science challenges allow companies, and other data holders, to collaborate with the wider research community. In the area of recommender systems, the potential of such challenges to move forward the state of the art is limited due to concerns about releasing user interaction data. This paper investigates the potential of privacy...conference paper 2019
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Urbano, Julián (author), De Lima, H.A. (author), Hanjalic, A. (author)Statistical significance testing is widely accepted as a means to assess how well a difference in effectiveness reflects an actual difference between systems, as opposed to random noise because of the selection of topics. According to recent surveys on SIGIR, CIKM, ECIR and TOIS papers, the t-test is the most popular choice among IR researchers....conference paper 2019
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Urbano, Julián (author), De Lima, H.A. (author), Hanjalic, A. (author)In test collection based evaluation of IR systems, score standardization has been proposed to compare systems across collections and minimize the effect of outlier runs on specific topics. The underlying idea is to account for the difficulty of topics, so that systems are scored relative to it. Webber et al. first proposed standardization...conference paper 2019
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Kim, Jaehun (author), Won, Minz (author), Liem, C.C.S. (author), Hanjalic, A. (author)In this paper, we propose a hybrid Neural Collaborative Filtering (NCF) model trained with a multi-objective function to achieve a music playlist generation system. The proposed approach focuses particularly on the cold-start problem (playlists with no seed tracks) and uses a text encoder employing a Recurrent Neural Network (RNN) to exploit...conference paper 2018
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Nateghizad, M. (author), Erkin, Z. (author), Lagendijk, R.L. (author)Many countries around the globe are investing on e-healthcare increasingly, which offers tremendous benefits to all stakeholders in healthcare. Nevertheless, this technology introduces unprecedented privacy concerns toward patients and raise more uncertainty among them to use e-healthcare for monitoring their vital signs. These concerns...conference paper 2017
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Tillem, G. (author), Erkin, Z. (author), Lagendijk, R.L. (author)The growing complexity of software with respect to technological advances encourages model-based analysis of software systems for validation and verification. Process mining is one recently investigated technique for such analysis which enables the discovery of process models from event logs collected during software execution. However, the...conference paper 2017
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Rothkrantz, L.J.M. (author)In this paper we present a new didactical model for open online learning using social media. Ideas underlying this model are discussed in recent literature. The innovative part of the model is that students are connected and cooperate via a social network of study friends for example via Facebook or Twitter. They inform each other about to be...conference paper 2016
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Tillem, G. (author), Erkin, Z. (author), Lagendijk, R.L. (author)Validation in a big software system can be managed by analysis of its behaviour through occasionally collected event logs. Process mining is a technique to perform software validation by discovering process models from event logs or by checking the conformance of the logs to a process model. A well-known algorithm in process mining to discover...conference paper 2016
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Ugwuoke, C.I. (author), Erkin, Z. (author), Lagendijk, R.L. (author)The continuous decline in the cost of DNA sequencing has contributed bothpositive and negative feelings in the academia and research community. It hasnow become possible to harvest large amounts of genetic data, which researches believe their study will help improve preventive and personalised healthcare, better understanding of diseases and...conference paper 2016
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Kroes, T. (author), Eisemann, M. (author), Eisemann, E. (author)Physically-based light transport in heterogeneous volumetric data is computationally expensive because the rendering integral (particularly visibility) has to be stochastically solved. We present a visibility estimation method in concert with an importance-sampling technique for efficient and unbiased stochastic volume rendering. Our solution...conference paper 2015