Contextual Recommendation of Social Updates, a Tag-Based Framework View Full Text


Ontology type: schema:Chapter      Open Access: True


Chapter Info

DATE

2010

AUTHORS

Adrien Joly , Pierre Maret , Johann Daigremont

ABSTRACT

In this paper, we propose a framework to improve the relevance of awareness information about people and subjects, by adapting recommendation techniques to real-time web data, in order to reduce information overload. The novelty of our approach relies on the use of contextual information about people’s current activities to rank social updates which they are following on Social Networking Services and other collaborative software. The two hypothesis that we are supporting in this paper are: (i) a social update shared by person X is relevant to another person Y if the current context of Y is similar to X’s context at time of sharing; and (ii) in a web-browsing session, a reliable current context of a user can be processed using metadata of web documents accessed by the user. We discuss the validity of these hypothesis by analyzing their results on experimental data. More... »

PAGES

436-447

References to SciGraph publications

  • 2007. Engineering Social Awareness in Work Environments in UNIVERSAL ACCESS IN HUMAN-COMPUTER INTERACTION. AMBIENT INTERACTION
  • 2006. Information Retrieval in Folksonomies: Search and Ranking in THE SEMANTIC WEB: RESEARCH AND APPLICATIONS
  • Book

    TITLE

    Active Media Technology

    ISBN

    978-3-642-15469-0
    978-3-642-15470-6

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-642-15470-6_45

    DOI

    http://dx.doi.org/10.1007/978-3-642-15470-6_45

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1023344247


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