Result Assessment Tool : software to support studies based on data from search engines

Sünkler, Sebastian; Yagci, Nurce; Schultheiß, Sebastian; von Mach, Sonja; Lewandowski, Dirk

doi:10.1007/978-3-031-56069-9_19

Please use this identifier to cite or link to this item: https://doi.org/10.48441/4427.2324

Publisher DOI:	10.1007/978-3-031-56069-9_19
Title:	Result Assessment Tool : software to support studies based on data from search engines
Language:	English
Authors:	Sünkler, Sebastian Yagci, Nurce Schultheiß, Sebastian von Mach, Sonja Lewandowski, Dirk
Editor:	Goharian, Nazli Tonellotto, Nicola He, Yulan Lipani, Aldo McDonald, Graham Macdonald, Craig Ounis, Iadh
Keywords:	search engine evaluation; web scraping; retrieval tests
Issue Date:	23-Mar-2024
Publisher:	Springer
Part of Series:	Advances in Information Retrieval : 46th European Conference on Information Retrieval, ECIR 2024, Glasgow, UK, March 24–28, 2024, Proceedings
Volume number:	V
Journal or Series Name:	Lecture notes in computer science
Volume:	14612
Startpage:	206
Endpage:	211
Project:	Relevance Assessment Tool (RAT): Entwicklung und Erweiterung einer Software zur Durchführung von Studien, die auf Ergebnissen aus Suchsystemen beruhen
Conference:	European Conference on Information Retrieval 2024
Abstract:	The Result Assessment Tool (RAT) is a software toolkit for conducting research with results from commercial search engines and other information retrieval (IR) systems. The software integrates modules for study design and management, automatic collection of search results via web scraping, and evaluation of search results in an assessment interface using different question types. RAT can be used for conducting a wide range of studies, including retrieval effectiveness studies, classification studies, and content analyses.
URI:	http://hdl.handle.net/20.500.12738/15372
DOI:	10.48441/4427.2324
ISBN:	978-3-031-56069-9 978-3-031-56068-2 978-3-031-56070-5
ISSN:	1611-3349
Edition / version:	1st ed. 2024
Review status:	Only preprints: This version has not yet been reviewed
Institute:	Fakultät Design, Medien und Information Department Information und Medienkommunikation Forschungsgruppe Search Studies
Type:	Preprint
Additional note:	Sünkler, S., Yagci, N., Schultheiß, S., von Mach, S., Lewandowski, D. (2024). Result Assessment Tool: Software to Support Studies Based on Data from Search Engines. In: Goharian, N., et al. Advances in Information Retrieval. ECIR 2024. Lecture Notes in Computer Science, vol 14612. Springer, Cham. The final publication is available at Springer via https://doi.org/10.1007/978-3-031-56069-9_19.
Funded by:	Deutsche Forschungsgemeinschaft
Appears in Collections:	Publications with full text