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Algorithms for Recollection of Search Terms Based on the Wikipedia Category Structure
The common user interface for a search engine consists of a text field where the user can enter queries consisting of one or more keywords. Keyword query based search engines work well when the users have a clear vision what they are looking for and are capable of articulating their query using the...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3925568/ https://www.ncbi.nlm.nih.gov/pubmed/24616630 http://dx.doi.org/10.1155/2014/454868 |
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author | Vandamme, Stijn De Turck, Filip |
author_facet | Vandamme, Stijn De Turck, Filip |
author_sort | Vandamme, Stijn |
collection | PubMed |
description | The common user interface for a search engine consists of a text field where the user can enter queries consisting of one or more keywords. Keyword query based search engines work well when the users have a clear vision what they are looking for and are capable of articulating their query using the same terms as indexed. For our multimedia database containing 202,868 items with text descriptions, we supplement such a search engine with a category-based interface whose category structure is tailored to the content of the database. This facilitates browsing and offers the users the possibility to look for named entities, even if they forgot their names. We demonstrate that this approach allows users who fail to recollect the name of named entities to retrieve data with little effort. In all our experiments, it takes 1 query on a category and on average 2.49 clicks, compared to 5.68 queries on the database's traditional text search engine for a 68.3% success probability or 6.01 queries when the user also turns to Google, for a 97.1% success probability. |
format | Online Article Text |
id | pubmed-3925568 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-39255682014-03-10 Algorithms for Recollection of Search Terms Based on the Wikipedia Category Structure Vandamme, Stijn De Turck, Filip ScientificWorldJournal Research Article The common user interface for a search engine consists of a text field where the user can enter queries consisting of one or more keywords. Keyword query based search engines work well when the users have a clear vision what they are looking for and are capable of articulating their query using the same terms as indexed. For our multimedia database containing 202,868 items with text descriptions, we supplement such a search engine with a category-based interface whose category structure is tailored to the content of the database. This facilitates browsing and offers the users the possibility to look for named entities, even if they forgot their names. We demonstrate that this approach allows users who fail to recollect the name of named entities to retrieve data with little effort. In all our experiments, it takes 1 query on a category and on average 2.49 clicks, compared to 5.68 queries on the database's traditional text search engine for a 68.3% success probability or 6.01 queries when the user also turns to Google, for a 97.1% success probability. Hindawi Publishing Corporation 2014-01-29 /pmc/articles/PMC3925568/ /pubmed/24616630 http://dx.doi.org/10.1155/2014/454868 Text en Copyright © 2014 S. Vandamme and F. De Turck. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Vandamme, Stijn De Turck, Filip Algorithms for Recollection of Search Terms Based on the Wikipedia Category Structure |
title | Algorithms for Recollection of Search Terms Based on the Wikipedia Category Structure |
title_full | Algorithms for Recollection of Search Terms Based on the Wikipedia Category Structure |
title_fullStr | Algorithms for Recollection of Search Terms Based on the Wikipedia Category Structure |
title_full_unstemmed | Algorithms for Recollection of Search Terms Based on the Wikipedia Category Structure |
title_short | Algorithms for Recollection of Search Terms Based on the Wikipedia Category Structure |
title_sort | algorithms for recollection of search terms based on the wikipedia category structure |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3925568/ https://www.ncbi.nlm.nih.gov/pubmed/24616630 http://dx.doi.org/10.1155/2014/454868 |
work_keys_str_mv | AT vandammestijn algorithmsforrecollectionofsearchtermsbasedonthewikipediacategorystructure AT deturckfilip algorithmsforrecollectionofsearchtermsbasedonthewikipediacategorystructure |