Interactive Query Expansion in a Meta-search Engine

Authors:
Claudia Oliveira;Luis Gustavo Varges Resende;Roberto Lehmann
Affiliations:
-;-;-
Venue:
NGIT '99 Proceedings of the 4th International Workshop on Next Generation Information Technologies and Systems
Year:
1999

Citing 3
Cited 0

User choices: a new yardstick for the evaluation of ranking algorithms for interactive query expansion

Information Processing and Management: an International Journal
Relevance Feedback and Query Expansion for Searching the Web: A Model for Searching a Digital Library

ECDL '97 Proceedings of the First European Conference on Research and Advanced Technology for Digital Libraries
User-chosen phrases in interactive query formulation for information retrieval

IRSG'98 Proceedings of the 20th Annual BCS-IRSG conference on Information Retrieval Research

Quantified Score

Hi-index	0.00

Visualization

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.