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
Pages: 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: ACM
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 Applied Information Technology (InIT)
Appears in Collections:Publikationen School of Engineering

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