EEXCESS: Personalisierter Zugriff auf Long-TailInhalte – neue Methoden zur Verbreitung wissenschaftlich-kulturellen Wissens

Translated title of the contribution: EEXCESS: Personalised access to Long Tail content – New strategies for disseminating scientific and cultural content

Christin Seifert, Michael Granitzer

    Research output: Contribution to journalArticleAcademicpeer-review

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    Abstract

    In the last decade, Europe has conducted a tremendous effort to make cultural, educational and scientific resources publicly available. Although such massive amounts of culturally and scientifically rich content are available, the potential of its use for educational and scientific purposes remains largely untapped. One reason can be seen in current web content dissemination mechanism, which are dominated by a small number of large central hubs like major search engines (e.g. Google), social networks (e.g. Facebook) or online encyclopaedias (e.g. Wikipedia). In order to maintain their valuable services, those large hubs have to focus on commercially viable mainstream content. While cultural and scientific resources provide valuable and educational content, they cannot be considered as 'mainstream'. Quite contrary, most of this can be considered as high-quality niche content for a rather small community and forms part of the so-called Long Tail. The Long Tail theory, first introduced by Chris Anderson, argues that in internet-based markets, niche content adds up to a huge body of knowledge, but is hidden from most users. In the Long Tail, content is maintained and curated by a large number of small to medium-sized institutions such as memory organisations (e.g. archives and museums), national and digital libraries and open educational repositories. However, the few large web hubs hardly support the dissemination of this Long Tail content leaving a gap for bringing cultural and scientific wealth into educational and scientific processes. In order to reshape content dissemination mechanisms for highly specialised Long Tail content, EEXCESS introduces the idea on augmenting existing web channels with high quality content through personalised, contextualised and privacy preserving recommendations. In order to communicate the knowledge contained in the content, EEXCESS researches visualisation and interaction techniques for presenting recommendation results. The main underlying concept is to bring the content to the user, i.e. injecting content into channels used by users, instead of bringing the user to the content, i.e. creating additional portals that compete for user attention in the Long Tail.
    Translated title of the contributionEEXCESS: Personalised access to Long Tail content – New strategies for disseminating scientific and cultural content
    Original languageGerman
    Pages (from-to)103-110
    Number of pages8
    JournalInformation-Wissenschaft und Praxis
    Volume66
    Issue number2-3
    DOIs
    Publication statusPublished - 2015

    Keywords

    • Context
    • Electronic Library
    • Project
    • Recommendation
    • Visualization
    • eexcess

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