Query recommendation in the information domain of children

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

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Children represent an increasing group of web users. Some of the key problems that hamper their search experience is their limited vocabulary, their difficulty in using the right keywords, and the inappropriateness of their general-purpose query suggestions. In this work, we propose a method that uses tags from social media to suggest queries related to children's 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 submitted by children.We show that our method outperforms by a large margin the query suggestions of modern search engines and state-of-the art query suggestions based on random walks. We improve further the quality of the ranking by combining the score of the random walk with topical and language modeling features to emphasize even more the child-related aspects of the query suggestions.

Original languageEnglish
Pages (from-to)1368-1384
Number of pages17
JournalJournal of the Association for Information Science and Technology
Volume65
Issue number7
DOIs
Publication statusPublished - 1 Jan 2014

Fingerprint

Search engines
social media
resources
search engine
ranking
vocabulary
Query
trend
language
experience
Group
Random walk

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Library and Information Sciences

Cite this

Query recommendation in the information domain of children. / Torres, Sergio Duarte; Hiemstra, Djoerd; Weber, Ingmar; Serdyukov, Pavel.

In: Journal of the Association for Information Science and Technology, Vol. 65, No. 7, 01.01.2014, p. 1368-1384.

Research output: Contribution to journalArticle

Torres, Sergio Duarte ; Hiemstra, Djoerd ; Weber, Ingmar ; Serdyukov, Pavel. / Query recommendation in the information domain of children. In: Journal of the Association for Information Science and Technology. 2014 ; Vol. 65, No. 7. pp. 1368-1384.
@article{ba8100fee0b24cb99c31eacb6af2e399,
title = "Query recommendation in the information domain of children",
abstract = "Children represent an increasing group of web users. Some of the key problems that hamper their search experience is their limited vocabulary, their difficulty in using the right keywords, and the inappropriateness of their general-purpose query suggestions. In this work, we propose a method that uses tags from social media to suggest queries related to children's 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 submitted by children.We show that our method outperforms by a large margin the query suggestions of modern search engines and state-of-the art query suggestions based on random walks. We improve further the quality of the ranking by combining the score of the random walk with topical and language modeling features to emphasize even more the child-related aspects of the query suggestions.",
author = "Torres, {Sergio Duarte} and Djoerd Hiemstra and Ingmar Weber and Pavel Serdyukov",
year = "2014",
month = "1",
day = "1",
doi = "10.1002/asi.23055",
language = "English",
volume = "65",
pages = "1368--1384",
journal = "Journal of the Association for Information Science and Technology",
issn = "2330-1635",
publisher = "John Wiley and Sons Ltd",
number = "7",

}

TY - JOUR

T1 - Query recommendation in the information domain of children

AU - Torres, Sergio Duarte

AU - Hiemstra, Djoerd

AU - Weber, Ingmar

AU - Serdyukov, Pavel

PY - 2014/1/1

Y1 - 2014/1/1

N2 - Children represent an increasing group of web users. Some of the key problems that hamper their search experience is their limited vocabulary, their difficulty in using the right keywords, and the inappropriateness of their general-purpose query suggestions. In this work, we propose a method that uses tags from social media to suggest queries related to children's 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 submitted by children.We show that our method outperforms by a large margin the query suggestions of modern search engines and state-of-the art query suggestions based on random walks. We improve further the quality of the ranking by combining the score of the random walk with topical and language modeling features to emphasize even more the child-related aspects of the query suggestions.

AB - Children represent an increasing group of web users. Some of the key problems that hamper their search experience is their limited vocabulary, their difficulty in using the right keywords, and the inappropriateness of their general-purpose query suggestions. In this work, we propose a method that uses tags from social media to suggest queries related to children's 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 submitted by children.We show that our method outperforms by a large margin the query suggestions of modern search engines and state-of-the art query suggestions based on random walks. We improve further the quality of the ranking by combining the score of the random walk with topical and language modeling features to emphasize even more the child-related aspects of the query suggestions.

UR - http://www.scopus.com/inward/record.url?scp=84903939779&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84903939779&partnerID=8YFLogxK

U2 - 10.1002/asi.23055

DO - 10.1002/asi.23055

M3 - Article

VL - 65

SP - 1368

EP - 1384

JO - Journal of the Association for Information Science and Technology

JF - Journal of the Association for Information Science and Technology

SN - 2330-1635

IS - 7

ER -