User-Oriented Content Retrieval Using Image Segmentation Techniques

  • Pythagoras Karampiperis
Part of the Communications in Computer and Information Science book series (CCIS, volume 240)


The need for applying advanced social information retrieval techniques for personalizing web-based information discovery has been identified as a key challenge. Until now, significant R&D effort has been devoted aiming towards applying collaborative filtering techniques for educational content retrieval. However, limited attention has been given to the use of educational metadata as a mean to enhance social filtering techniques via educationally informed filtering decisions. In this paper we propose the use of an add-on filtering service on existing social filtering systems/applications so as to create a data post-filtering mechanism that makes use of intelligence stored in TEL metadata. The proposed methodology starts with the generation of a matrix that represents the educational characteristics of the resources suggested by typical social filtering techniques and applies post-filtering using the educational “footprint” of the resources already used by the targeted end-user.


Learning Object Color Code Educational Resource Educational Characteristic Resource Type 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Pythagoras Karampiperis
    • 1
  1. 1.National Center of Scientific Research "Demokritos"AthensGreece

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