Enhancing relevance ranking of the EERQI search engine.

Autor/inn/en	Sándor, Ágnes; Vorndran, Angela
Titel	Enhancing relevance ranking of the EERQI search engine.
Quelle	Aus: Gogolin, Ingrid (Hrsg.); Aström, Fredrik (Hrsg.); Hansen, Antje (Hrsg.): Assessing quality in European educational research. Indicators and approaches. Wiesbaden: Springer VS (2014) S. 56-69 PDF als Volltext Link als defekt meldenVerfügbarkeit
Reihe	Springer research
Sprache	englisch
Dokumenttyp	online; gedruckt; Sammelwerksbeitrag
ISBN	3-658-05968-0; 978-3-658-05968-2
DOI	10.1007/978-3-658-05969-9_5
Schlagwörter	Vergleichsuntersuchung; Suchmaschine; Experiment; Wort; Projekt; Ranking; Häufigkeit; Konzeption; Relevanz; Information Retrieval
Abstract	In this chapter the authors describe the application of the detection of salient sentences for enhancing relevance ranking in the EERQI search engine as well as for the presentation of document snippets in the results list. In a proof-of-concept experiment the authors show that the presence of the query word(s) in the salient sentences detected is an important indicator of the relevance of the article. The authors have compared the relevance of the articles retrieved with their method with those retrieved by the Lucene search engine as configured for the EERQI content base with the default relevance ranking, which is based on word frequency measures. The results are complementary, which points to the utility of the integration of their tool into Lucene. (DIPF/Orig.).
Erfasst von	DIPF \| Leibniz-Institut für Bildungsforschung und Bildungsinformation, Frankfurt am Main
Update	2014/4