Academic information retrieval using citation clusters: in-depth evaluation based on systematic reviews.

Autor/inn/en	Bascur, Juan Pablo; Verberne, Suzan; van Eck, Nees Jan; Waltman, Ludo
Titel	Academic information retrieval using citation clusters: in-depth evaluation based on systematic reviews.
Quelle	In: Scientometrics, (2023) 5, S.2895-2921 PDF als Volltext Verfügbarkeit
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0138-9130
DOI	10.1007/s11192-023-04681-x
Schlagwörter	Information retrieval; Citation-based clustering; Systematic reviews; Evaluation
Abstract	Abstract The field of science mapping has shown the power of citation-based clusters for literature analysis, yet this technique has barely been used for information retrieval tasks. This work evaluates the performance of citation-based clusters for information retrieval tasks. We simulated a search process with a tree hierarchy of clusters and a cluster selection algorithm. We evaluated the task of finding the relevant documents for 25 systematic reviews. Our evaluation considered several trade-offs between recall and precision for the cluster selection. We also replicated the Boolean queries self-reported by the systematic reviews to serve as a reference. We found that citation-based clusters’ search performance is highly variable and unpredictable, that the clusters work best for users that prefer recall over precision at a ratio between 2 and 8, and that the clusters are able to complement query-based search by finding additional relevant documents.
Erfasst von	OLC
Update	2023/2/05