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Record link: 
http://hdl.handle.net/20.500.12708/56925
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Title: 
Does Online Evaluation Correspond to Offline Evaluation in Query Auto Completion?
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Citation: 
Bampoulidis, A., Palotti, J., Lupu, M., Brassey, J., & Hanbury, A. (2017). Does Online Evaluation Correspond to Offline Evaluation in Query Auto Completion? In Advances in Information Retrieval (pp. 713–719). Springer. http://hdl.handle.net/20.500.12708/56925
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Publication Type: 
Inproceedings - Poster Contribution
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Language: 
English
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Authors: 
Bampoulidis, Alexandros 
Palotti, João 
Lupu, Mihai 
Brassey, Jon 
Hanbury, Allan 
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Organisational Unit: 
E194-01 - Forschungsbereich Information und Software Engineering 
E194-04 - Forschungsbereich E-Commerce 
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Published in: 
Advances in Information Retrieval 
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Date (published): 
2017
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Event name: 
39th European Conference on Information Retrieval 
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Event date: 
9-Apr-2017 - 13-Apr-2017
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Event place: 
Aberdeen, United Kingdom of Great Britain and Northern Ireland (the)
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Number of Pages: 
7
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Publisher: 
Springer
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Abstract: 
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.
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Science Branch: 
Informatik
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Appears in Collections:
Conference Paper

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