The main purpose of this paper is to analyze the state of the art of search engines in e-learning platforms, and to elaborate a new model that exploits its best suggestions to perform an efficient and precise search. The algorithms, architecture and system use of this model are discussed, presenting a global vision of the search component.

A search engine to categorize LOs

FENU, GIANNI
2013-01-01

Abstract

The main purpose of this paper is to analyze the state of the art of search engines in e-learning platforms, and to elaborate a new model that exploits its best suggestions to perform an efficient and precise search. The algorithms, architecture and system use of this model are discussed, presenting a global vision of the search component.
2013
E-learning; Search engine; Pre-query; Post-query; Ranking metrics; Search modules
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/55672
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