Abstract
A medium-scale user study was carried out to investigate the usability of a concept-based query expansion support tool. The tool was fully integrated into the interface of an IR system, and designed to support the user by offering automatically generated concept hierarchies. Two types of hierarchies were compared with a baseline. Several observations were made as a result of the study: 1) the hierarchy is often accessed after an examination of the first page of search results; 2) accessing the hierarchies reduces the number of iterations and paging actions; 3) accessing the hierarchies increases the chance of finding relevant items more accurately than the baseline; 4) the hierarchical structure helps the users to handle a large number of concepts; and finally, 5) subjects were not aware of the difference between two types of hierarchies.
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References
Belkin, N.J., Cool, C., Head, J., Jeng, J., Kelly, D., Lin, S., Lobash, L., Park, S.Y., Savage-Knepshield, P., Sikora, C.: Relevance feeback versus local context analysis as term suggestion devices: Rutgers’ trec-8 interactive track experience. In: Voorheer, E.M., Harman, D.K. (eds.) Proceedings of the 8th Text REtrieval Conference (TREC-8), Gaithersburg, MD, NIST (2000)
Ruthven, I.: Re-examining the potential effectiveness of interactive query expansion. In: Callan, J., Cormack, G., Clarke, C., Hawking, D., Smeaton, A. (eds.) Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Tronto, Canada, pp. 213–220. ACM, New York (2003)
Pollitt, S.: Interactive information retrieval based on faceted classification using views. In: Proceedings of the 6th International Study Conference on Classification (FID/CR), London, UK, University College of London (1997), Available from http://scom.hud.ac.uk/external/research/CeDAR/dorking.htm [Accessed: 08/01/2004]
Joho, H., Coverson, C., Sanderson, M., Beaulieu, M.: Hierarchical presentation of expansion terms. In: Proceedings of the 17th ACM Symposium on Applied Computing (SAC 2002), Madrid, Spain, pp. 645–649. ACM, New York (2002)
Hersh, W., Over, P.: Trec-8 interactive track report. In: Voorheer, E.M., Harman, D.K. (eds.) NIST Special Publication 500-246: The Eighth Text REtrieval Conference (TREC-8), Gaithersburg, ML, pp. 57–64. NIST (2000)
Sanderson, M., Croft, B.: Deriving concept hierarchies from text. In: Hearst, M., Gey, G., Tong, R. (eds.) Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Berkeley, CA, pp. 206–213. ACM, New York (1999)
Niwa, Y., Nishioka, S., Iwayama, M., Takano, A.: Topic graph generation for query navigation: Use of frequency classes for topic extraction. In: Proceedings of the Natural Language Processing Pacific Rim Symposium (NLPRS 1997), Phuket, Thailand, pp. 95–100 (1997)
Nanas, N., Uren, V., De Roeck, A.: Building and applying a concept hierarchy representation of a user profile. In: Callan, J., Cormack, G., Clarke, C., Hawking, D., Smeaton, A. (eds.) Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Tronto, Canada, pp. 198–204. ACM, New York (2003)
Anick, P.G., Tipirneni, S.: The paraphrase search assistant: Terminological feedback for iterative information seeking. In: Hearst, M., Gey, G., Tong, R. (eds.) Proceedings of the 22nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Berkeley, CA, pp. 153–161. ACM, New York (1999)
Hearst, M.A.: Automatic acquisition of hyponyms from large text corpora. In: Proceedings of the Fourteenth International Conference on Computational Linguistics, Nantes, France, pp. 539–545 (1992)
Miller, G.A.: Wordnet: A lexical database for english. Communications of the ACM 38, 39–41 (1995)
Wacholder, N., Evans, D.K., Klavans, J.L.: Automatic identification and organization of index terms for interactive browsing. In: Proceedings of the first ACM/IEEE-CS joint conference on Digital libraries, Roanoke, VA, pp. 126–134. ACM, New York (2001)
Robertson, S., Walker, S., Hancock-Beaulieu, M.: Large test collection experiments on an operational, interactive system: Okapi at trec. Information Processing & Management 31, 345–360 (1995)
Fowkes, H., Beaulieu, M.: Interactive searching behaviour: Okapi experiment for trec 8. In: Robertson, S., Ayse, G. (eds.) Proceedings of the BCS-IRSG 22nd Annual Colloquium on Information Retrieval Research, Cambridge, UK, BSC-IRSG, pp. 47–56 (2000)
Bookstein, A., Kulyukin, V., Raita, T., Nicholson, J.: Adapting measures of clumping strength to assess term-term similarity. Journal of the American Society for Information Science and Technology 54, 611–620 (2003)
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Joho, H., Sanderson, M., Beaulieu, M. (2004). A Study of User Interaction with a Concept-Based Interactive Query Expansion Support Tool. In: McDonald, S., Tait, J. (eds) Advances in Information Retrieval. ECIR 2004. Lecture Notes in Computer Science, vol 2997. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24752-4_4
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DOI: https://doi.org/10.1007/978-3-540-24752-4_4
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