Data visualization and relevance feedback applied to information retrieval

Authors:
Diogo Oliveira de Melo;Alneu de Andrade Lopes
Affiliations:
Universisdade de São Paulo, São Carlos, SP, Brazil;Universisdade de São Paulo, São Carlos, SP, Brazil
Venue:
Proceedings of the sixth workshop on Ph.D. students in information and knowledge management
Year:
2013

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Abstract

The World Wide Web is a very large source of data growing steadily and fast. In this scenario, information retrieval systems are of key importance to allow people to obtain desired information. This article proposes an information retrieval framework which employs data visualization with relevance feedback to support user interaction. Data visualization is useful to display more information about retrieved results in an intuitive manner, while relevance feedback is used to provide more results similar to those considered relevant by the user. This article presents such information retrieval framework and the Amuzi system built as proof of concept.