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. © 2011 Springer-Verlag.
CITATION STYLE
Karampiperis, P. (2011). User-oriented content retrieval using image segmentation techniques. In Communications in Computer and Information Science (Vol. 240 CCIS, pp. 356–362). https://doi.org/10.1007/978-3-642-24731-6_36
Mendeley helps you to discover research relevant for your work.