UNED @ Retrieving Diverse Social Images Task
Ángel Castellanos, Xaro Benavent, Ana M. García-Serrano, Esther de Ves, Juan M. Cigarran · 2014
This paper summarizes the participation of UNED at the 2014 Retrieving Diverse Social Images Task [3]. We pro-pose a novel approach based on Formal Concept Analysis (FCA) to detect the latent topics related to the images and a later Hierarchical Agglomerative Clustering (HAC) to put together the images according to these latent topics. The diversification will be based on offering images from the dif-ferent topics detected. In order to detect these latent topics, two kinds of data have been tested: only information related to the description of the images and all the textual informa-tion related to the images. The results show that our pro-posal is suitable for search result diversification, achieving similar results to those in the state of the art. 1.