Please use this identifier to cite or link to this item: https://doi.org/10.48441/4427.2648
Publisher DOI: 10.7717/peerj-cs.2962
Title: Result Assessment Tool (RAT) : empowering search engine data analysis
Language: English
Authors: Sünkler, Sebastian 
Lewandowski, Dirk  
Schultheiß, Sebastian  
Yagci, Nurce 
Editor: Piangerelli, Marco 
Keywords: World Wide Web; Web Science; Software Engineering; Search engine evaluation; Web scraping; Retrieval tests; Retrieval effectiveness studies; Search engines; Search engine optimization; Information science; Health information; Open source; Python
Issue Date: 8-Jul-2025
Publisher: PeerJ, Ltd.
Journal or Series Name: PeerJ computer science 
Volume: 11
Project: Relevance Assessment Tool (RAT): Entwicklung und Erweiterung einer Software zur Durchführung von Studien, die auf Ergebnissen aus Suchsystemen beruhen 
Abstract: 
The Result Assessment Tool (RAT) is a Python-based software toolkit that enables researchers to analyze results from commercial search engines, social media platforms, and library search systems. RAT provides an integrated environment for designing studies, collecting results, and performing automated analysis. The software consists of two main modules: RAT Frontend and RAT Backend. RAT Frontend uses Flask to provide a researcher view for designing studies and an evaluation view for collecting ratings from study participants. RAT Backend includes modules for collecting search results, extracting source code, and adding classifiers for automated analysis. The system has been used in various studies, including search engine effectiveness studies, interactive information retrieval studies, and classification studies.
URI: https://hdl.handle.net/20.500.12738/17835
DOI: 10.48441/4427.2648
ISSN: 2376-5992
Review status: This version was peer reviewed (peer review)
Institute: Forschungsgruppe Search Studies 
Department Information und Medienkommunikation 
Fakultät Design, Medien und Information 
Type: Article
Additional note: Sünkler, Sebastian, Lewandowski, Schultheiß, Sebastian, & Yagci, Nurce (2025). Result Assessment Tool (RAT): empowering search engine data analysis. PeerJ Computer Science, 11, e2962. https://doi.org/10.7717/peerj-cs.2962. The APC was funded by Hamburg University of Applied Sciences.
Funded by: Deutsche Forschungsgemeinschaft 
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