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 |
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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 | |
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 | |
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Publisher | ACM |
Conference
Conference | 21th ACM international Conference on Information and Knowledge Management, CIKM 2012 |
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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