A survey of statistical approaches for query expansion
A major issue in effective information retrieval is the problem of vocabulary mismatches. The method called query expansion addresses this issue by reformulating each search query with additional terms that better define the information needs of the user. Many researchers have contributed to improvi...
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| Format: | Article |
| Language: | English |
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Springer Verlag
2018
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| Online Access: | http://umpir.ump.edu.my/id/eprint/23272/ http://umpir.ump.edu.my/id/eprint/23272/1/A%20survey%20of%20statistical%20approaches%20for%20query%20expansion1.pdf |
| _version_ | 1848821766297747456 |
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| author | Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad |
| author_facet | Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad |
| author_sort | Raza, Muhammad Ahsan |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | A major issue in effective information retrieval is the problem of vocabulary mismatches. The method called query expansion addresses this issue by reformulating each search query with additional terms that better define the information needs of the user. Many researchers have contributed to improving the accuracy of information retrieval systems, through different approaches to query expansion. In this article, we primarily discuss statistical query expansion approaches that include document analysis, search and browse log analyses, and web knowledge analyses. In addition to proposing a comprehensive classification for these
approaches, we also briefly analyse the pros and cons of each technique. Finally, we evaluate these techniques using five functional features and experimental settings such as TREC collection and results of performance metrics. An in-depth survey of different statistical query expansion approaches suggests that the selection of the best approach depends on the type of search query, the nature and availability of data resources, and performance efficiency requirements. |
| first_indexed | 2025-11-15T02:30:34Z |
| format | Article |
| id | ump-23272 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T02:30:34Z |
| publishDate | 2018 |
| publisher | Springer Verlag |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-232722019-01-11T04:21:17Z http://umpir.ump.edu.my/id/eprint/23272/ A survey of statistical approaches for query expansion Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad QA75 Electronic computers. Computer science A major issue in effective information retrieval is the problem of vocabulary mismatches. The method called query expansion addresses this issue by reformulating each search query with additional terms that better define the information needs of the user. Many researchers have contributed to improving the accuracy of information retrieval systems, through different approaches to query expansion. In this article, we primarily discuss statistical query expansion approaches that include document analysis, search and browse log analyses, and web knowledge analyses. In addition to proposing a comprehensive classification for these approaches, we also briefly analyse the pros and cons of each technique. Finally, we evaluate these techniques using five functional features and experimental settings such as TREC collection and results of performance metrics. An in-depth survey of different statistical query expansion approaches suggests that the selection of the best approach depends on the type of search query, the nature and availability of data resources, and performance efficiency requirements. Springer Verlag 2018-09-01 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23272/1/A%20survey%20of%20statistical%20approaches%20for%20query%20expansion1.pdf Raza, Muhammad Ahsan and Rahmah, Mokhtar and Noraziah, Ahmad (2018) A survey of statistical approaches for query expansion. Knowledge and Information System. pp. 1-25. ISSN 02191377. (Published) http://doi.org/10.1007/s10115-018-1269-8 http://doi.org/10.1007/s10115-018-1269-8 |
| spellingShingle | QA75 Electronic computers. Computer science Raza, Muhammad Ahsan Rahmah, Mokhtar Noraziah, Ahmad A survey of statistical approaches for query expansion |
| title | A survey of statistical approaches for query expansion |
| title_full | A survey of statistical approaches for query expansion |
| title_fullStr | A survey of statistical approaches for query expansion |
| title_full_unstemmed | A survey of statistical approaches for query expansion |
| title_short | A survey of statistical approaches for query expansion |
| title_sort | survey of statistical approaches for query expansion |
| topic | QA75 Electronic computers. Computer science |
| url | http://umpir.ump.edu.my/id/eprint/23272/ http://umpir.ump.edu.my/id/eprint/23272/ http://umpir.ump.edu.my/id/eprint/23272/ http://umpir.ump.edu.my/id/eprint/23272/1/A%20survey%20of%20statistical%20approaches%20for%20query%20expansion1.pdf |