An analysis of queries intended to search information for children

Sergio Duarte Torres, Djoerd Hiemstra, Pavel Serdyukov

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

32 Citations (Scopus)
138 Downloads (Pure)

Abstract

Query logs contain valuable information about the behavior, interests, and preferences of the users. The analysis of this information can give insight in their interaction and search behavior. In this paper, we analyze queries and groups of queries intended to find information that is suitable for children by using a large-scale query log. The aim of the analysis it twofold: (i) To identify differences in the query space, content space, user sessions, and user click behavior. (ii) To enhance the query log by including annotations of queries, sessions and actions. The paper presents plans to use this resource for further research on information retrieval for children. We found statistically significant differences between the set of general purpose queries, and the set of children queries. We show that many of these differences are consistent with small-scale research studies in which children were observed while using web search engines.
Original languageUndefined
Title of host publicationProceedings of the Third Symposium on Information Interaction in Context (IIiX 2010)
Place of PublicationNew York
PublisherAssociation for Computing Machinery
Pages235-244
Number of pages10
ISBN (Print)978-1-4503-0247-0
DOIs
Publication statusPublished - Aug 2010
Event3rd Symposium on Information Interaction in Context, IIiX 2010 - New Brunswick, United States
Duration: 18 Aug 201021 Aug 2010
Conference number: 3

Publication series

Name
PublisherACM

Other

Other3rd Symposium on Information Interaction in Context, IIiX 2010
Abbreviated titleIIiX 2010
Country/TerritoryUnited States
CityNew Brunswick
Period18/08/1021/08/10

Keywords

  • METIS-276173
  • IR-75360
  • Children
  • EWI-18910
  • EC Grant Agreement nr.: FP7/231507
  • DB-IR: INFORMATION RETRIEVAL
  • Query log analysis

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