Graaasp: a web 2.0 research platform for contextual recommendation with aggregated data

  • Authors:
  • Evgeny Bogdanov;Sandy El Helou;Denis Gillet;Christophe Salzmann;Stephane Sire

  • Affiliations:
  • Ecole Polytechnique Fédérale de Lausanne - EPFL, Lausanne, Switzerland;Ecole Polytechnique Fédérale de Lausanne - EPFL, Lausanne, Switzerland;Ecole Polytechnique Fédérale de Lausanne - EPFL, Lausanne, Switzerland;Ecole Polytechnique Fédérale de Lausanne - EPFL, Lausanne, Switzerland;Ecole Polytechnique Fédérale de Lausanne - EPFL, Lausanne, Switzerland

  • Venue:
  • CHI '10 Extended Abstracts on Human Factors in Computing Systems
  • Year:
  • 2010

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Abstract

In this paper we describe Graaasp, a social software currently under development to support the creation of a real usage database of social artifacts. Our goals are twofold: First to offer a generic aggregation service and user interface to people and communities. Second, to experiment with recommendation and reputation models and algorithms in e-learning.