The Community for Technology Leaders
RSS Icon
Subscribe
pp: 1
Erick Gomez-Nieto , Universidade de São Paulo, São Carlos and San Pablo Catholic University, Arequipa
Frizzi San Roman , Universidade de São Paulo, São Carlos
Paulo Pagliosa , Universidade Federal de Mato Grosso do Sul, Campo Grande
Wallace Casaca , Universidade de São Paulo, São Carlos
Elias S. Helou , Universidade de São Paulo, São Carlos
Maria Cristina Ferreira de Oliveira , Universidade de São Paulo, São Carlos
Luis Gustavo Nonato , Universidade de São Paulo, São Carlos
ABSTRACT
Internet users are very familiar with the results of a search query displayed as a ranked list of snippets. Each textual snippet shows a content summary of the referred document and a link to it. This display has many advantages, e.g., it affords easy navigation and is straightforward to interpret. Several search tasks would be easier if users were shown an overview of the returned documents, organized so as to reflect how related they are, content-wise, being that the main goal of the visualization method proposed in this work. Call ProjSnippet, the proposed method combines the neighborhood preservation capability of multidimensional projections with the familiar snippet-based representation. The multidimensional projection ensures that similar snippets are neighbors in the visual space, but not avoiding overlaps. Overlapping is handled by defining an energy functional that considers both the amount snippets overlap each other and the preservation of the neighborhood structure as given in the projected layout. The resulting visualization conveys a global view of the query results while highlighting visual groupings of related results.
INDEX TERMS
Visualization, Layout, Search engines, Vectors, Optimization, Web pages, Navigation, web search visualization, multidimensional projection
CITATION
Erick Gomez-Nieto, Frizzi San Roman, Paulo Pagliosa, Wallace Casaca, Elias S. Helou, Maria Cristina Ferreira de Oliveira, Luis Gustavo Nonato, "Similarity Preserving Snippet-Based Visualization of Web Search Results", IEEE Transactions on Visualization & Computer Graphics, , no. 1, pp. 1, PrePrints PrePrints, doi:10.1109/TVCG.2013.242
26 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool