| Publication type: | Conference paper |
| Type of review: | Not specified |
| Title: | Evaluation for operational IR applications – generalizability and automation |
| Authors: | Imhof, Melanie Braschler, Martin Hansen, Preben Rietberger, Stefan |
| DOI: | 10.1145/2513150.2513160 |
| Proceedings: | LivingLab '13 Proceedings of the 2013 workshop on Living labs for information retrieval evaluation |
| Page(s): | 2557 |
| Pages to: | 2558 |
| Conference details: | Workshop on Living Labs for Information Retrieval Evaluation, San Francisco, USA, 1 November 2013 |
| Issue Date: | 2013 |
| Publisher / Ed. Institution: | Association for Computing Machinery |
| Publisher / Ed. Institution: | New York |
| ISBN: | 978-1-4503-2420-5 |
| Language: | English |
| Subject (DDC): | 020: Library and information sciences |
| Abstract: | Black box information retrieval (IR) application evaluation allows practitioners to measure the quality of their IR application. Instead of evaluating specific components, e.g. solely the search engine, a complete IR application, including the user’s perspective, is evaluated. The evaluation methodology is designed to be applicable to operational IR applications. The black box evaluation methodology could be packaged into an evaluation and monitoring tool, making it usable for industry stakeholders. The tool should lead practitioners through the evaluation process and maintain the test results for the manual and automatic tests. This paper shows that the methodology is generalizable, even though the diversity of IR applications is high. The challenges in automating tests are the simulation of tasks that require intellectual effort and the handling of different visualizations of the same concept. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/4228 |
| Fulltext version: | Published version |
| License (according to publishing contract): | Licence according to publishing contract |
| Departement: | School of Engineering |
| Organisational Unit: | Institute of Computer Science (InIT) |
| Appears in collections: | Publikationen School of Engineering |
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Imhof, M., Braschler, M., Hansen, P., & Rietberger, S. (2013). Evaluation for operational IR applications – generalizability and automation [Conference paper]. LivingLab ’13 Proceedings of the 2013 Workshop on Living Labs for Information Retrieval Evaluation, 2557–2558. https://doi.org/10.1145/2513150.2513160
Imhof, M. et al. (2013) ‘Evaluation for operational IR applications – generalizability and automation’, in LivingLab ’13 Proceedings of the 2013 workshop on Living labs for information retrieval evaluation. New York: Association for Computing Machinery, pp. 2557–2558. Available at: https://doi.org/10.1145/2513150.2513160.
M. Imhof, M. Braschler, P. Hansen, and S. Rietberger, “Evaluation for operational IR applications – generalizability and automation,” in LivingLab ’13 Proceedings of the 2013 workshop on Living labs for information retrieval evaluation, 2013, pp. 2557–2558. doi: 10.1145/2513150.2513160.
IMHOF, Melanie, Martin BRASCHLER, Preben HANSEN und Stefan RIETBERGER, 2013. Evaluation for operational IR applications – generalizability and automation. In: LivingLab ’13 Proceedings of the 2013 workshop on Living labs for information retrieval evaluation. Conference paper. New York: Association for Computing Machinery. 2013. S. 2557–2558. ISBN 978-1-4503-2420-5
Imhof, Melanie, Martin Braschler, Preben Hansen, and Stefan Rietberger. 2013. “Evaluation for Operational IR Applications – Generalizability and Automation.” Conference paper. In LivingLab ’13 Proceedings of the 2013 Workshop on Living Labs for Information Retrieval Evaluation, 2557–58. New York: Association for Computing Machinery. https://doi.org/10.1145/2513150.2513160.
Imhof, Melanie, et al. “Evaluation for Operational IR Applications – Generalizability and Automation.” LivingLab ’13 Proceedings of the 2013 Workshop on Living Labs for Information Retrieval Evaluation, Association for Computing Machinery, 2013, pp. 2557–58, https://doi.org/10.1145/2513150.2513160.
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