Query recommendation for children

Sergio Duarte Torres, Djoerd Hiemstra, Ingmar Weber, Pavel Serdyukov

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

16 Citations (Scopus)
117 Downloads (Pure)

Abstract

One of the biggest problems that children experience while searching the web occurs during the query formulation process. Children have been found to struggle formulating queries based on keywords given their limited vocabulary and their difficulty to choose the right keywords. In this work we propose a method that utilizes tags from social media to suggest queries related to children topics. Concretely we propose a simple yet effective approach to bias a random walk defined on a bipartite graph of web resources and tags through keywords that are more commonly used to describe resources for children. We evaluate our method using a large query log sample of queries aimed at retrieving information for children. We show that our method outperforms query suggestions of state-of-the-art search engines and state-of-the art query suggestions based on random walks.
Original languageUndefined
Title of host publicationProceedings of the 21st ACM International Conference on Information and Knowledge Management, CIKM 2012
Place of PublicationNew York
PublisherAssociation for Computing Machinery (ACM)
Pages2010-2014
Number of pages5
ISBN (Print)978-1-4503-1156-4
DOIs
Publication statusPublished - 29 Oct 2012
Event21th ACM international Conference on Information and Knowledge Management, CIKM 2012 - Maui, United States
Duration: 29 Oct 20122 Nov 2012
Conference number: 21

Publication series

Name
PublisherACM

Conference

Conference21th ACM international Conference on Information and Knowledge Management, CIKM 2012
Abbreviated titleCIKM
CountryUnited States
CityMaui
Period29/10/122/11/12

Keywords

  • METIS-296036
  • Children
  • IR-84325
  • CR-H.3.3
  • EWI-21502
  • Social Media
  • Query reformulation

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