Vorträge und Posterpräsentationen (mit Tagungsband-Eintrag):
A. Bampoulidis, J. Palotti, M. Lupu, J. Brassey, A. Hanbury:
"Does Online Evaluation Correspond to Offline Evaluation in Query Auto Completion?";
Poster: 39th European Conference on Information Retrieval,
Aberdeen, Scotland, UK;
09.04.2017
- 13.04.2017; in: "Advances in Information Retrieval",
Springer,
(2017),
ISBN: 978-3-319-56608-5;
S. 713
- 719.
Kurzfassung englisch:
Query Auto Completion is the task of suggesting queries to the users of a search engine while they are typing a query in the search box. Over the recent years there has been a renewed interest in research on improving the quality of this task. The published improvements were
assessed by using offline evaluation techniques and metrics. In this paper, we provide a comparison of online and offline assessments for Query Auto Completion. We show that there is a large potential for significant bias if the raw data used in an online experiment is re-used for offline experiments afterwards to evaluate new methods.
Elektronische Version der Publikation:
https://publik.tuwien.ac.at/files/publik_262234.pdf
Erstellt aus der Publikationsdatenbank der Technischen Universität Wien.