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 |
Appears in Collections: | Publications with full text |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
peerj-cs-2962.pdf | 4.32 MB | Adobe PDF | View/Open |
Note about this record
Export
This item is licensed under a Creative Commons License