@article{R. Lopes_D. Santos_L. Jasbick_de Oliveira_Bedo_2021, title={An empirical assessment of quality metrics for diversified similarity searching}, volume={12}, url={https://sol.sbc.org.br/journals/index.php/jidm/article/view/1917}, DOI={10.5753/jidm.2021.1917}, abstractNote={<p><span class="fontstyle0">A diversified similarity search retrieves elements that are simultaneously similar to a query object and akin to the different collections within the explored data. While several methods in information retrieval, data clustering, and similarity searching have tackled the problem of adding diversity into result sets, the experimental comparison of their performances is still an open issue mainly because the quality metrics are “borrowed” from those different research areas, bringing their biases alongside. In this manuscript, we investigate a series of such metrics and experimentally discuss their trends and limitations. We conclude diversity is better addressed by a set of measures rather than a single quality index and introduce the concept of </span><span class="fontstyle2">Diversity Features Model </span><span class="fontstyle0">(</span><span class="fontstyle3">DFM</span><span class="fontstyle0">), which combines the viewpoints of biased metrics into a multidimensional representation. Experimental evaluations indicate </span><span class="fontstyle2">(i) </span><span class="fontstyle3">DFM </span><span class="fontstyle0">enables comparing different result diversification algorithms by considering multiple criteria, and </span><span class="fontstyle2">(ii) </span><span class="fontstyle0">the most suitable searching methods for a particular dataset are spotted by combining </span><span class="fontstyle3">DFM </span><span class="fontstyle0">with ranking aggregation and parallel coordinates maps.</span></p>}, number={3}, journal={Journal of Information and Data Management}, author={R. Lopes, Camila and D. Santos, Lúcio F. and L. Jasbick, Daniel and de Oliveira, Daniel and Bedo, Marcos}, year={2021}, month={Oct.} }