Interactive query expansion in a meta-search engine

Claudia Oliveira; Luis Gustavo; Varges Resende; Roberto Lehmann

Interactive query expansion in a meta-search engine

Claudia Oliveira, Luis Gustavo, Varges Resende, Roberto Lehmann

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

Abstract

In this article we describe a method for refining an initial set of search results, obtained through a meta-search engine, based on relevance feedback. The idea is to interactively obtain from the user a subset of relevant documents in an ongoing query, thereby providing a sample of the related vocabulary. Terms acquired in this way are combined with the terms initially in the query, in order to improve retrieval precision. In our method the user is also asked to select a subset of irrelevant documents, so that terms may be combined negatively in the query. A model of compatible architectures, in which the method can be implemented, is presented. An instance of such model, the system Web Query Reformulator (WQR), is described, with some of its performance results.

Original language	English
Title of host publication	Next Generation Information Technologies and Systems - 4th International Workshop, NGITS 1999, Proceedings
Publisher	Springer, Springer Nature
Pages	50-57
Number of pages	8
Volume	1649
ISBN (Print)	3540662251, 9783540662259
Publication status	Published - 1999
Event	4th International Workshop on Next Generation Information Technologies and Systems, NGITS 1999 - Zikhron-Yaakov, Israel Duration: 5 Jul 1999 → 7 Jul 1999

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	1649
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	4th International Workshop on Next Generation Information Technologies and Systems, NGITS 1999
Country/Territory	Israel
City	Zikhron-Yaakov
Period	5/07/99 → 7/07/99

Cite this

Oliveira, C., Gustavo, L., Resende, V., & Lehmann, R. (1999). Interactive query expansion in a meta-search engine. In Next Generation Information Technologies and Systems - 4th International Workshop, NGITS 1999, Proceedings (Vol. 1649, pp. 50-57). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1649). Springer, Springer Nature.

Oliveira, Claudia ; Gustavo, Luis ; Resende, Varges et al. / Interactive query expansion in a meta-search engine. Next Generation Information Technologies and Systems - 4th International Workshop, NGITS 1999, Proceedings. Vol. 1649 Springer, Springer Nature, 1999. pp. 50-57 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Interactive query expansion in a meta-search engine",

abstract = "In this article we describe a method for refining an initial set of search results, obtained through a meta-search engine, based on relevance feedback. The idea is to interactively obtain from the user a subset of relevant documents in an ongoing query, thereby providing a sample of the related vocabulary. Terms acquired in this way are combined with the terms initially in the query, in order to improve retrieval precision. In our method the user is also asked to select a subset of irrelevant documents, so that terms may be combined negatively in the query. A model of compatible architectures, in which the method can be implemented, is presented. An instance of such model, the system Web Query Reformulator (WQR), is described, with some of its performance results.",

author = "Claudia Oliveira and Luis Gustavo and Varges Resende and Roberto Lehmann",

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Oliveira, C, Gustavo, L, Resende, V & Lehmann, R 1999, Interactive query expansion in a meta-search engine. in Next Generation Information Technologies and Systems - 4th International Workshop, NGITS 1999, Proceedings. vol. 1649, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1649, Springer, Springer Nature, pp. 50-57, 4th International Workshop on Next Generation Information Technologies and Systems, NGITS 1999, Zikhron-Yaakov, Israel, 5/07/99.

Interactive query expansion in a meta-search engine. / Oliveira, Claudia; Gustavo, Luis; Resende, Varges et al.
Next Generation Information Technologies and Systems - 4th International Workshop, NGITS 1999, Proceedings. Vol. 1649 Springer, Springer Nature, 1999. p. 50-57 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1649).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AU - Resende, Varges

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AB - In this article we describe a method for refining an initial set of search results, obtained through a meta-search engine, based on relevance feedback. The idea is to interactively obtain from the user a subset of relevant documents in an ongoing query, thereby providing a sample of the related vocabulary. Terms acquired in this way are combined with the terms initially in the query, in order to improve retrieval precision. In our method the user is also asked to select a subset of irrelevant documents, so that terms may be combined negatively in the query. A model of compatible architectures, in which the method can be implemented, is presented. An instance of such model, the system Web Query Reformulator (WQR), is described, with some of its performance results.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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Oliveira C, Gustavo L, Resende V, Lehmann R. Interactive query expansion in a meta-search engine. In Next Generation Information Technologies and Systems - 4th International Workshop, NGITS 1999, Proceedings. Vol. 1649. Springer, Springer Nature. 1999. p. 50-57. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

Interactive query expansion in a meta-search engine

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