REUSING PAST QUERIES TO FACILITATE INFORMATION RETRIEVAL
Gilles Hubert, Josiane Mothe
2007
Abstract
This paper introduces a new approach of query reuse in order to help the user to retrieve relevant information. Past search experiences are a source of information that can be useful for a user trying to find information answering his information need. For example, a user searching about a new subject can benefit from past search experiences carried out by previous users about the same subject. The approach presented in this paper is based on collecting the different search attempts submitted to a search engine by a user trying to fulfil an information need. This approach takes mainly advantage of implicit links that exist between the different search attempts that try to satisfy a single information need. Search experiences are modelled according to the concepts defined in the domain of version management. This modelling provides multiple possibilities to reuse past experiences notably to recommend terms for query reformulation or documents judged relevant by other users.
References
- Aamodt, A., Plaza, E., 1994. Case-based reasoning: foundational issues, methodological variations, and system approaches. AI Communications, 7, 1, pp. 39-59.
- Amitay, E., Darlow A., Konopnicki,, D., Weiss, U., 2005. Queries as Anchors: Selection by Association. Sixteenth ACM Conference Hypertext (pp. 193-201).
- Andonoff, E., Hubert, G., Le Parc, A., 1998. A Database Interface Integrating a Querying Language for Versions. 2nd East European Symposium ADBIS, LNCS 1475 (pp. 200-211).
- Benammar, A., Hubert, G., Mothe, J., 2002. Automatic Profile Reformulation Using a Local Document Analysis. 24th BCS-IRSG European Colloquium ECIR,. LNCS 2291 (pp. 124-134).
- Conradi, R., Westfechtel, B., 1998. Version models for software configuration management. ACM Computing Surveys, Volume 30, Issue 2, pp. 232-282.
- Corvaisier F., Mille A., Pinon J.-M., 1997. Information retrieval on the World Wide Web using a decision making system. International conference RIAO (pp. 284-295).
- Efthimiadis, E. N., Robertson, S. E., 1989. Feedback and interaction in information retrieval. Perspectives in Information Management. Butterworths, pp. 257-272.
- Fitzpatrick, L., Dent, M., 1997. Automatic feedback using past queries: social searching?. 20th Annual international ACM SIGIR Conference on Research and Development in information Retrieval (pp. 306-313).
- Fu L., Dion Goh D. H.-L., Foo S. S.-B., Supangat Y., 2004. Collaborative Querying for Enhanced Information Retrieval, 8th European Conference ECDL, LNCS 3232 (pp. 378-388).
- Hubert, G., 2006. XML Retrieval Based on Direct Contribution of Query Components. 4th International Workshop INEX 2005, LNCS 3977 (pp. 172-186).
- Iszlai Z., Egyed-Zsigmond E., 2006. User centered image management system for digital libraries. 2nd international Conference on Document Image Analysis For Libraries (Dial'06) - Volume 00 (pp. 164-171).
- Jéribi, L., Rumpler, B., 2002. Instance Cooperative Memory to Improve Query Expansion in Information Retrieval Systems, Journal of Universal Computer Science, vol. 8, no. 6, pp. 591-601.
- Jomier G., Cellary W., 2000. The Database Version Approach. Networking and Information Systems Journal, 3, 1, pp. 177-214.
- Katz, R. H., 1990. Toward a unified framework for version modeling in engineering databases. ACM Computing. Surveys, Volume 22, Issue 4, pp. 375-409.
- Kemp, C., Ramamohanarao, K., 2002. Long-Term Learning for Web Search Engines. 6th European Conference on Principles of Data Mining and Knowledge Discovery. LNCS 2431 (pp. 263-274).
- Klink S., 2004. Improving Document Transformation Techniques with Collaborative Learned Term-Based Concepts, LNCS 2956, pp. 281-305.
- Mitra, M., Singhal, A., Buckley, C., 1998. Improving Automatic Query Expansion. 21st Annual International ACM SIGIR Conference on Research and Development in information Retrieval (pp. 206-214).
- Raghavan, V. V., Sever, H., 1995. On the reuse of past optimal queries. 18th Annual international ACM SIGIR Conference on Research and Development in information Retrieval (pp. 344-350).
- Rocchio Jr., J. J., 1971. Relevance feedback in information retrieval. The SMART Retrieval System: Experiments in Automatic Document Processing. Prentice-Hall, Englewood Cliffs, NJ, USA, pp. 313-323.
- Salton, G., McGill, M. J., 1986. Introduction to Modern Information Retrieval. McGraw-Hill, Inc.
- Salton, G., Wong, A., Yang, C. S., 1975. A vector space model for automatic indexing. Communication of the ACM, 18 (11), pp. 613-620.
- Selberg, E., Etzioni, O., 1998. Experiments with Collaborative Index Enhancement, University of Washington Technical Report UW-CSE-98-06-01.
- Taghva K., Borsack J., Nartker T., Condit A., 2004. The role of manually-assigned keywords in query expansion, Information Processing & Management, Volume 40, Issue 3, pp. 441-458.
- Xu J. and Croft W. B., 1996. Query Expansion Using Local and Global Document Analysis. 19th Annual International ACM SIGIR Conference on Research and Development in information Retrieval (pp. 4-11).
Paper Citation
in Harvard Style
Hubert G. and Mothe J. (2007). REUSING PAST QUERIES TO FACILITATE INFORMATION RETRIEVAL . In Proceedings of the Second International Conference on Software and Data Technologies - Volume 3: ICSOFT, ISBN 978-989-8111-07-4, pages 166-171. DOI: 10.5220/0001340401660171
in Bibtex Style
@conference{icsoft07,
author={Gilles Hubert and Josiane Mothe},
title={REUSING PAST QUERIES TO FACILITATE INFORMATION RETRIEVAL},
booktitle={Proceedings of the Second International Conference on Software and Data Technologies - Volume 3: ICSOFT,},
year={2007},
pages={166-171},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001340401660171},
isbn={978-989-8111-07-4},
}
in EndNote Style
TY - CONF
JO - Proceedings of the Second International Conference on Software and Data Technologies - Volume 3: ICSOFT,
TI - REUSING PAST QUERIES TO FACILITATE INFORMATION RETRIEVAL
SN - 978-989-8111-07-4
AU - Hubert G.
AU - Mothe J.
PY - 2007
SP - 166
EP - 171
DO - 10.5220/0001340401660171