Searched for: mods_originInfo_publisher_s%3A%22CEUR%255C-WS%22
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Kurteva, A.K. (author), Pandit, Harshvardhan J. (author)
Protecting and preserving individuals’ personal data is a legal obligation set out by the European Union’s General Data Protection Regulation (GDPR). However, the process of implementing data governance to support that, in a decentralised ecosystem, is still vague. Motivated by the need for lawful decentralised data processing, this paper...
conference paper 2023
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Rukanova, B.D. (author), Ubacht, J. (author), Tan, Y. (author), Agahari, W. (author), Rietveld, Elmer (author), Lennartz, Jelmer (author)
In this paper, we propose a framework for circular economy monitoring by looking at the issue of border crossing and levels of control.
conference paper 2023
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Ubacht, J. (author), Schmid, Jonathan (author), Rietveld, Elmer (author), Lennartz, Jelmer (author), Rukanova, B.D. (author), Tan, Y. (author)
The European Commission initiated a series of Directives and Regulations that aim to turn the linear economy into a climate-neutral and circular economy. Business-to-government information- sharing arrangements play an essential role in monitoring compliance with these regulatory measures. To this end data from the supply chain of products needs...
conference paper 2023
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Schneider, Jan (author), Mat Sanusi, Khaleel Asyraaf (author), Limbu, B.H. (author), Schmitz, Marcel (author), Schiffner, Daniel (author)
This paper presents an approach that helps distinguish expert and novice performance easily by observing the sensor data without having to understand nor apply models to the sensor signal. The method consists of plotting the sensor data and identifying irregularities. We corroborate, with the help of sensors, that expert performances are...
book chapter 2023
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Limbu, B.H. (author), van Helden, G. (author), Barnes, Jan Schneider (author), Specht, M.M. (author)
Acquisition and internalisation of many fundamental skills rely on repeated authentic practice and teachers providing support during practice. Despite this well accepted norms in skills acquisition, much of our assumptions about learning skills, mostly from a cognitive perspective, remain nebulous. Besides splitting hairs to classify skills...
book chapter 2022
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Ionescu, A. (author), Katsifodimos, A (author), Houben, G.J.P.M. (author)
As data is produced at an unprecedented rate, the need and ex- pectation to make it easily available for the end-users is growing. Dataset Discovery has become an important subject in the data management community, as it represents the means of providing the data to the user and fulfilling an information need. Since the end-user is the one that...
conference paper 2021
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Siachamis, G. (author), Houben, G.J.P.M. (author), van Deursen, A. (author), Katsifodimos, A (author)
Data Integration has been a long-standing and challenging problem for enterprises and researchers. Data residing in multiple heterogeneous sources must be integrated and prepared such that the valuable information that it carries, can be extracted and analysed. However, the volume and the velocity of the produced data in addition to the modern...
conference paper 2021
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Rahman, Muhammad Fazalul (author), Murukannaiah, P.K. (author), Sharma, Naveen (author)
Vacant lots are municipally-owned land parcels which were acquired post-abandonment or due to tax foreclosures. With time, failure to sell or find alternate uses for vacant lots results in them causing adverse effects on the health and safety of residents, and cost the city both directly and indirectly. Although existing research has tried to...
conference paper 2020
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Gadiraju, Ujwal (author), Yang, J. (author)
The unprecedented rise in the adoption of artificial intelligence techniques and automation in many contexts is concomitant with shortcomings of such technology with respect to robustness, interpretability, usability, and trustworthiness. Crowd computing offers a viable means to leverage human intelligence at scale for data creation,...
conference paper 2020
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van Loenen, B. (author), Mansourian, A. (author), Welle Donker, F.M. (author)
In this 2 hour workshop the experiences of the geographic data domain will be shared with the open data research & education community to promote and strengthen active innovative learning and teaching in both worlds. The domain of geographic data can be considered as one of the front running in open data. Over the past two decades, many...
conference paper 2020
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van Loenen, B. (author), Welle Donker, F.M. (author), Zuiderwijk-van Eijk, A.M.G. (author), Tutic, Drazen (author), Alexopoulos, Charalampos (author)
Open data initiatives have resulted in greater availability of data, thereby realising ambitions such as improved efficiency and effectiveness of public services, increased transparency, accountability and citizen participation, and economic and social value creation. Open data research is a crucial component in creating and accelerating...
conference paper 2020
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Qiu, S. (author), Bozzon, A. (author), Gadiraju, Ujwal (author)
Searching the web to learn new things or gain knowledge has become a common activity. Recent advances in conversational user interfaces have led to a new research opportunity - that of analyzing the potential of conversational interfaces in improving the effectiveness of search as learning (SAL). Addressing this knowledge gap, in this...
conference paper 2020
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Strucks, Christopher (author), Slokom, M. (author), Larson, M.A. (author)
Past research has demonstrated that removing implicit gender information from the user-item matrix does not result in substantial performance losses. Such results point towards promising solutions for protecting users’ privacy without compromising prediction performance, which are of particular interest in multistakeholder environments. Here,...
conference paper 2019
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Câmara, Arthur (author), MacDonald, Craig (author)
Reproducibility and replicability are key concepts in science, and it is therefore important for information retrieval (IR) platforms to aid in reproducing and replicating experiments. In this paper, we describe the creation of a Docker container for Terrier within the framework of the OSIRRC 2019 challenge, which allows typical runs to be...
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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Clancy, Ryan (author), Ferro, Nicola (author), Hauff, C. (author), Lin, Jimmy (author), Sakai, Tetsuya (author), Wu, Ze Zhong (author)
The Open-Source IR Replicability Challenge (OSIRRC 2019), organized as a workshop at SIGIR 2019, aims to improve the replicability of ad hoc retrieval experiments in information retrieval by gathering a community of researchers to jointly develop a common Docker specification and build Docker images that encapsulate a diversity of systems and...
conference paper 2019
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Abderrazik, Hiba (author), Angela, Giovan (author), Brouwer, Hans (author), Janse, Henky (author), Lutz, Sterre (author), Smitskamp, Gwennan (author), Manolios, S. (author), Liem, C.C.S. (author)
Music is often both personally and affectively meaningful to human listeners. However, little work has been done to create music recommender systems that take this into account. In this demo proposal, we present Spotivibes: a first prototype for a new color-based tagging and music recommender system. This innovative tagging system is designed...
conference paper 2019
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Larson, M.A. (author), Slokom, M. (author)
Hypotargeting for recommender systems (hyporec) is the idea of controlling the number of unique lists of items that a recommender system can recommend to users during a given time period. The main advantage of hyporec is oversight. If a recommender system offers only a finite number of unique lists, then it becomes feasible for a person...
conference paper 2019
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Rijlaarsdam, Matthijs (author), Scholten, Sebastiaan (author), Liem, C.C.S. (author)
Recommender systems can be useful in group settings, e.g. when choosing a movie to watch with a group. However, while considerable research in group recommendation has been performed, we still lack truly ecological datasets on group recommendations in real life consumption scenarios. Much of the existing work considers hypothetical...
conference paper 2019
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Schvarcbacher, Martin (author), Spadini, D. (author), Bruntink, Magiel (author), Oprescu, Ana (author)
Test smells can be found in test code using a variety of tools. In this paper, we present our integration of a test smell detection tool into Better Code Hub (BCH), an online environment for monitoring code quality and identifying problems in it. We extended BCH with test smell detection and observe how developers react to various instances...
conference paper 2019
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