Ferramenta de Análise Estatística para Sistemas de Recuperação de Informação Interativa

  • Moisés Almeida da Cruz Farias UEFS
  • Rodrigo Tripodi Calumby UEFS
DOI: https://doi.org/10.5753/erbase.2021.20067

Abstract


The rigorous analysis of the effectiveness of information retrieval systems is a process that requires the use of complex techniques and multiple tools. Assessing the effectiveness of search engines brings challenges considering the iterative process performed by users. The AnalyzIR tool is being developed to provide integrated functionality for analyzing the effectiveness of information retrieval systems. This work presents an extension of the tool designed to support the statistical significance analysis of the effectiveness of interactive retrieval systems. For this, methods of computing effectiveness measures and analysis of statistical significance for interactive systems were integrated.

References

Calumby, R., Gonçalves, M., Torres, R. (2016) "On Interactive Learning-to-Rank for IR: Overview, Recent Advances, Challenges, and Directions. Neurocomputing". Amsterdam

Calumby, R. (2010) Recuperação Multimodal de Imagens Com Realimentação de Relevância Baseada em Programação Genética. Instituto de Computação, Unicamp.

Torres, R., Falcão, A. (2006) Content-based image retrieval: Theory and applications. Revista de Informática Teórica e Aplicada, 13(2):161-185.

Penatti, O. (2009) Estudo Comparativo de Descritores para Recuperação de Imagens por Conteúdo na Web. Instituto de Computação, Unicamp.
Published
2021-10-25
How to Cite

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FARIAS, Moisés Almeida da Cruz; CALUMBY, Rodrigo Tripodi. Ferramenta de Análise Estatística para Sistemas de Recuperação de Informação Interativa. In: REGIONAL SCHOOL ON COMPUTING OF BAHIA, ALAGOAS, AND SERGIPE (ERBASE), 21. , 2021, Maceió. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2021 . p. 146-151. DOI: https://doi.org/10.5753/erbase.2021.20067.