Interactive query expansion in a meta-search engine

Claudia Oliveira, Luis Gustavo, Varges Resende, Roberto Lehmann

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution


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 languageEnglish
Title of host publicationNext Generation Information Technologies and Systems - 4th International Workshop, NGITS 1999, Proceedings
PublisherSpringer, Springer Nature
Number of pages8
ISBN (Print)3540662251, 9783540662259
Publication statusPublished - 1999
Event4th International Workshop on Next Generation Information Technologies and Systems, NGITS 1999 - Zikhron-Yaakov, Israel
Duration: 5 Jul 19997 Jul 1999

Publication series

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


Other4th International Workshop on Next Generation Information Technologies and Systems, NGITS 1999

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