Query recommendation for children

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

doi:10.1145/2396761.2398562

Query recommendation for children

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

Databases (Former)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

22 Citations (Scopus)

231 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 language	Undefined
Title of host publication	Proceedings of the 21st ACM International Conference on Information and Knowledge Management, CIKM 2012
Place of Publication	New York
Publisher	Association for Computing Machinery
Pages	2010-2014
Number of pages	5
ISBN (Print)	978-1-4503-1156-4
DOIs	https://doi.org/10.1145/2396761.2398562
Publication status	Published - 29 Oct 2012
Event	21th ACM international Conference on Information and Knowledge Management, CIKM 2012 - Maui, United States Duration: 29 Oct 2012 → 2 Nov 2012 Conference number: 21

Publication series

Name
Publisher	ACM

Conference

Conference	21th ACM international Conference on Information and Knowledge Management, CIKM 2012
Abbreviated title	CIKM
Country/Territory	United States
City	Maui
Period	29/10/12 → 2/11/12

Keywords

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

Access to Document

10.1145/2396761.2398562

Cite this

@inproceedings{39fa10afa36b44c29ba82b89dae60c36,

title = "Query recommendation for children",

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.",

keywords = "METIS-296036, Children, IR-84325, CR-H.3.3, EWI-21502, Social Media, Query reformulation",

author = "{Duarte Torres}, Sergio and Djoerd Hiemstra and Ingmar Weber and Pavel Serdyukov",

note = "10.1145/2396761.2398562 ; 21th ACM international Conference on Information and Knowledge Management, CIKM 2012 ; Conference date: 29-10-2012 Through 02-11-2012",

year = "2012",

month = oct,

day = "29",

doi = "10.1145/2396761.2398562",

language = "Undefined",

isbn = "978-1-4503-1156-4",

publisher = "Association for Computing Machinery",

pages = "2010--2014",

booktitle = "Proceedings of the 21st ACM International Conference on Information and Knowledge Management, CIKM 2012",

address = "United States",

}

Duarte Torres, S, Hiemstra, D, Weber, I & Serdyukov, P 2012, Query recommendation for children. in Proceedings of the 21st ACM International Conference on Information and Knowledge Management, CIKM 2012. Association for Computing Machinery, New York, pp. 2010-2014, 21th ACM international Conference on Information and Knowledge Management, CIKM 2012, Maui, Hawaii, United States, 29/10/12. https://doi.org/10.1145/2396761.2398562

Query recommendation for children. / Duarte Torres, Sergio; Hiemstra, Djoerd; Weber, Ingmar et al.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, CIKM 2012. New York: Association for Computing Machinery, 2012. p. 2010-2014.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - Query recommendation for children

AU - Duarte Torres, Sergio

AU - Hiemstra, Djoerd

AU - Weber, Ingmar

AU - Serdyukov, Pavel

N1 - Conference code: 21

PY - 2012/10/29

Y1 - 2012/10/29

N2 - 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.

AB - 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.

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KW - Children

KW - IR-84325

KW - CR-H.3.3

KW - EWI-21502

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KW - Query reformulation

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M3 - Conference contribution

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PB - Association for Computing Machinery

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