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Hildesheim, Germany

The University of Hildesheim was founded in 1978. Wikipedia.

Nanopoulos A.,University of Hildesheim
IEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans | Year: 2011

Along with the new opportunities introduced by Web 2.0 and collaborative tagging systems, several challenges have to be addressed too, notably, the problem of information overload. Recommender systems are among the most successful approaches for increasing the level of relevant content over the noise. Traditional recommender systems fail to address the requirements presented in collaborative tagging systems. This paper considers the problem of item recommendation in collaborative tagging systems. It is proposed to model data from collaborative tagging systems with three-mode tensors, in order to capture the three-way correlations between users, tags, and items. By applying multiway analysis, latent correlations are revealed, which help to improve the quality of recommendations. Moreover, a hybrid scheme is proposed that additionally considers content-based information that is extracted from items. Experimental comparison, using data from a real collaborative tagging system (Last.fm), against both recent tag-aware and traditional (non tag aware) item recommendation algorithms indicates significant improvements in recommendation quality. Moreover, the experimental results illustrate the advantage of the proposed hybrid scheme. © 2011 IEEE.

Santangelo A.,University of Tubingen | Madonia R.,University of Hildesheim
Astroparticle Physics | Year: 2014

In this article we review the history of X-ray astronomy from the pioneering years to the age of the great observatories. We will try to show how new discoveries have been linked to technological breakthroughs, to science policy achievements and have been always supported by the passion of scientists who dedicated their life to the exploration of the Universe at the high energies. We will also briefly review the current challenges of X-ray astronomy (and astrophysics) and the missions already planned or that are being designed to address these challenges. © 2013 Elsevier B.V. All rights reserved.

Frobenius M.,University of Hildesheim
Journal of Pragmatics | Year: 2014

This paper investigates audience design in monologues. The study uses video blogs, a spoken, asynchronous form of computer-mediated communication, to illustrate how talk reflects the lack of an immediately present audience. It is based on a corpus of English language vlogs collected from the video hosting site YouTube. The study demonstrates how speakers adapt to a mediated speech situation where there is not even minimal feedback and the speaker has to address absent viewers. Clark and Carlson's audience design (1992) and Bell's audience design (1984), introducing the notion of participant roles, are central constructs in the present study. It is argued that when vloggers (re)assign participant roles, the audience is actively involved, as they have to recognize their new status. The phenomena examined in this paper include multimodal, syntactical, and lexical features. The particular context of the medium and the monologic nature of the data will be given special consideration in the analysis of genre specific features. These include terms of address (e.g. YouTubers, YouTube, vlog fans), directives/directed language (e.g. comment, rate, and subscribe, leave me a comment). Other features under discussion include questions ( how are you guys doing), voicing the audience, constructed dialogue, whispering, gestures, categorization etc. © 2014 Elsevier B.V.All rights reserved.

Schmid K.,University of Hildesheim
2013 4th International Workshop on Product LinE Approaches in Software Engineering, PLEASE 2013 - Proceedings | Year: 2013

Lately, software ecosystems have generated a lot of attention as they are very important to modern software industry. Over the course of several research projects, we addressed the problem of variability-rich software ecosystems and their relation to software product lines in our research group. This paper summarizes some of the problems we identified and describes some solutions we created both on a conceptual level and implemented in a prototype tool environment. © 2013 IEEE.

Agency: Cordis | Branch: H2020 | Program: RIA | Phase: YOUNG-2-2014 | Award Amount: 2.50M | Year: 2015

The overall ambition of MOVE is to provide a research-informed contribution towards an improvement of the conditions of the mobility of young people in Europe and a reduction of the negative impacts of mobility through the identification of ways of good practice thus fostering sustainable development and wellbeing. The consortium of MOVE is built up of nine partners within six countries: Luxembourg, Germany, Hungary, Norway, Romania and Spain. The main research question is: How can the mobility of young people be good both for socio-economic development and for individual development of young people, and what are the factors that foster/hinder such beneficial mobility? Based on an interdisciplinary and multilevel research approach the main objectives of MOVE are to: [1] carry out a comprehensive analysis of the phenomenon of mobility of young people in the EU; [2] generate systematic data about young peoples mobility patterns in Europe based on qualitative case studies, a mobility survey and on secondary data analysis; [3] provide a quantitative integrated database on European youth mobility; [4] offer a data based theoretical framework in which mobility can be reflected, thus contributing to the scientific and political debates. [5] explore factors that foster and factors that hinder good practice based on an integrative approach with qualitative and quantitative evidence. [6] provide evidence-based knowledge and recommendations for policy makers through the development of good-practice models. MOVE is based on a multilevel research design, including case studies on six types of mobility (higher education, voluntary work, employment, vocational training, pupils exchange and entrepreneurship), a survey (N=6400) and secondary data analysis, taking into consideration social inequality (e.g. migration background, gender, educational inequalities, impairments). The focus will be on the regional contexts of mobility and the agency of young people.

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