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.
Index Terms—E-learning, search engine, pre-query,
post-query, ranking metrics, search modules
Gianni Fenu is with the Computer Science at University of Cagliari, Italy
(e-mail: fenu@unica.it)
[PDF]
Cite:Gianni Fenu, "A Search Engine to Categorize LOs," International Journal of Future Computer and Communication vol. 2, no. 6, pp. 673-677, 2013.
