Document Type : Articles


1 MA student of Library and Information Science, Department of Information Science and Knowledge, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran

2 Faculty member of Information Management Department, Ahvaz Branch, Islamic Azad University, Ahvaz, Iran

3 Faculty member of Information and Knowledge Science, Faculty of Literature and Humanity, Islamic Azad University of Ahvaz, Ahvaz, Iran


Expansion and reformulation of queries are among the most common strategies employed by users in retrieval of initial results to coordinate them with their needs. The present study examines the expansion and reformulation of queries and their impact on improving the precisionof the retrieval results.The analytical survey method was used to evaluate the relationship between the variables. The study was conducted on the MA students of the Information Science and Knowledgein Islamic Azad University of Ahvaz, Khuzestan Science and Research Branch, who had the seminar course(n=28). The data were collected using a researcher-made questionnaire. The results showed the lack of enough time to review all the retrieved results as the most important reason for the expansion and reformulation of queries (mean = 4.66). In addition, the users reported different perceived usefulness of the expansion and reformulation tools for the retrieval results where they perceived the reformulation strategy more useful (mean =3.781). Furthermore, the precision of the initial results was significantly increased using the reformulation tools. The tools including limiting the search terms by the resource title, subject, year, and searching the initial results enhance the overall precision of the initial results. However, for the expansion tools, using these limiting approaches resulted in no significant difference between the precision of initial results and the final retrieval results. The results show that using the expansion and reformulation tools to correct the initial search may have different reasons. Moreover, the use of these tools affects the precision of searches.


  1. Alhroob, A., Khafajeh, H., & Innab, N. (2013).Evaluation of different expansion techniques for Arabic text retrieval system. American Journal of Applied Sciences, 10(9), 1018-1024.
  2. Babaee, M. (2003). Information need analysis. Tehran: Center of Information and Scientific Documents of Iran.
  3. Cao, G., Nie, J., Gao, J., & Robertson, S. (2008). Selecting good expansion terms for pseudo-relevance feedback. Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, New York, USA: ACM Press. DOI: 10.1145/1390334.1390377.
  4. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance on information technology. MIS Quarterly, 13 (3), 319-339.
  5. Davis, F. D., Bagozzi, R. P., & Warshaw P.R. (1992). Extrinsic and intrinsic motivation to use computer in the workplace. Journal of Applied Social Psychology, 22 (14), 1109-1130.
  6. Davarpanah, M. (2003). Search of scientific and research-based information in printed and electronic sources. Tehran: Debizesh; Chapar.
  7. Eastman, C. M., & Jansen, B. J. (2003). Coverage, relevance, and ranking: The impact of query operators on web search engine results. ACM Transactions on Information Systems, 21(4), 383–411.
  8. Fattahi, R. (2006). Identification and analysis of general terms in web: An approach to search expansion using natural language in search engines. Training and Psychological Studies, 7(1), 31-52.
  9. Fonseca, B. M., Golgher, P., Possas, B., Riberio-Neto, B., & Ziviani, N. (2005). Concept-based interactive query expansion. In Proceedings of the 14th ACM International Conference on Information and Knowledge Management. New York, USA, (pp. 696-703). ACM.DOI:10.1145/1099554.1099726.
  10. Hayati, Z., &Shafiee, L. (2011). The comparison between relevance of retrieval sources and use of query expansion method by Ask search engine and general terms from the view point of users in the field of library science and information. Study of Library and Information Science, 3(10), 49-66.
  11. Hendrickson, A. R., Massey, P. D., & Cronan, T. P. (1993). On the test-retest reliability of perceived usefulness and perceived ease of use scales. MIS Quarterly, 17(2), 297-230.
  12. Huang, J., & Efthimiadis, E. N. (2009). Analyzing and evaluating query reformulation strategies in web search logs. In Proceedings of the 18th ACM Conference on Information and Knowledge Management, New York, USA, (pp. 86-77).ACM.
  13. Joshi, D. P., & Doshi, R. D. (2013). Techniques of query reformulation in information retrieval. Journal of Information, Knowledge and Research in Computer Engineering, 2(2), 418-420.
  14. Kekalainen, J., & Jarvelin, K. (2000).The co-effects of query structure and expansion on retrieval performance in probabilistic text retrieval. Information Retrieval, 1(4), 329-337.
  15. Lesk, M. E. (1969). Word-word associations in document retrieval systems. American Documentation, 20(2), 27-38.
  16. Lin, H. C., Wang, L. H., & Chen, S. M. (2006). Query expansion for document retrieval based on fuzzy rules and user relevance feedback techniques. Expert Systems with Applications, 31(2), 397-405.
  17. Lioma, C. & Ounis, I. (2008).A syntactically-based query reformulation technique for information retrieval. Journal of Information Processing and Management, 44(1), 143-162. DOI:10.1016/j.ipm.2006.12.005.
  18. Liu, Z., Natarajan, S., & Chen, Y. (2011). Query expansion based on clustered results. Proceedings of the VLDB Endowment, 4(6), 350-361.
  19. Mastora, A., Monopoli, M., & Kapidakis, S. (2008). Exploring query formulation and reformulation: A preliminary study to map users’ search behavior. In Christensen-Dalsgaard B., Castelli D., Ammitzbøll Jurik B., Lippincott J. (Eds) Research and Advanced Technology for Digital Libraries (pp. 427-430). ECDL 2008. Lecture Notes in Computer Science, vol. 5173. Springer Berlin Heidelberg.
  20. Mathwick, C., & Malhotra R. K. (2001). The effect of dynamic retail experiences onexperiential perceptions of value: An Internet and catalog comparison. Journal of Retailing, 78 (1), 51-60.
  21. Rieh, S. Y. & Xie, H. (2006). Analysis of multiple query reformulations on the web: The interactive information retrieval context. Journal of Information Processing and Management, 42, 751-768.
  22. Salton, G., & McGill, M. (1983). An introduction to modern information retrieval. New York, NY: McGraw-Hill.
  23. Voorhees, E. M. (1994). Query expansion using lexical-semantic relations. In Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 61-69). London: Springer.
  24. Yoo, S., & Choi, J. (2010). On the query reformulation technique for effective Medline document retrieval. Journal of Biomedical Information, 43(5), 686-693. http://dx.doi. org/10.1016/j.jbi.2010.04.005.