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22303 What Snippets Say About Pages in Federated Web Search
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Demeester, T. and Nguyen, Dong-Phuong and Trieschnigg, R.B. and Develder, C. and Hiemstra, D. (2012) What Snippets Say About Pages in Federated Web Search. In: Proceedings of the 8th Asia Information Retrieval Societies Conference (AIRS 2012), 17-19 December 2012, Tianjin, China. pp. 250-261. Lecture Notes in Computer Science 7675. Springer. ISBN 978-3-642-35340-6

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What is the likelihood that a Web page is considered
relevant to a query, given the relevance assessment of the corresponding
snippet? Using a new federated IR test collection that contains search
results from over a hundred search engines on the internet, we are able
to investigate such research questions from a global perspective. Our test
collection covers the main Web search engines like Google, Yahoo!, and
Bing, as well as a number of smaller search engines dedicated to multimedia,
shopping, etc., and as such reflects a realistic Web environment.
Using a large set of relevance assessments, we are able to investigate
the connection between snippet quality and page relevance. The dataset
is strongly inhomogeneous, and although the assessors’ consistency is
shown to be satisfying, care is required when comparing resources. To
this end, a number of probabilistic quantities, based on snippet and page
relevance, are introduced and evaluated.

Item Type:Conference or Workshop Paper (Full Paper, Talk)
Research Group:EWI-HMI: Human Media Interaction, EWI-DB: Databases
Research Program:CTIT-NICE: Natural Interaction in Computer-mediated Environments
Research Project:DIRKA: Distributed Information Retrieval by means of Keyword Auctions, FACT: Folktales As Classifiable Texts
Additional Information:
ID Code:22303
Deposited On:04 October 2012
More Information:statisticsmetis

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