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 contributionpeer-review


    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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