Query recommendation for children
Autor: | Sergio Duarte Torres, Pavel Serdyukov, Djoerd Hiemstra, Ingmar Weber |
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Přispěvatelé: | Databases (Former) |
Rok vydání: | 2012 |
Předmět: |
IR-84325
Computer science InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL CR-H.3.3 02 engineering and technology Query language Query optimization EWI-21502 Search engine Query expansion Web query classification 020204 information systems 0202 electrical engineering electronic engineering information engineering Children computer.programming_language Information retrieval Web search query 05 social sciences Query reformulation Spatial query Sargable 0509 other social sciences Web resource 050904 information & library sciences computer Social Media RDF query language METIS-296036 |
Zdroj: | CIKM Proceedings of the 21st ACM International Conference on Information and Knowledge Management, CIKM 2012, 2010-2014 STARTPAGE=2010;ENDPAGE=2014;TITLE=Proceedings of the 21st ACM International Conference on Information and Knowledge Management, CIKM 2012 |
DOI: | 10.1145/2396761.2398562 |
Popis: | 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. |
Databáze: | OpenAIRE |
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