preprintarXiv (Cornell University)Jan 10, 2024GREEN OA

Improving Tag-Clouds as Visual Information Retrieval Interfaces

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Abstract

Tagging-based systems enable users to categorize web resources by means of tags (freely chosen keywords), in order to refinding these resources later. Tagging is implicitly also a social indexing process, since users share their tags and resources, constructing a social tag index, so-called folksonomy. At the same time of tagging-based system, has been popularised an interface model for visual information retrieval known as Tag-Cloud. In this model, the most frequently used tags are displayed in alphabetical order. This paper presents a novel approach to Tag-Cloud's tags selection, and proposes the use of clustering algorithms for visual layout, with the aim of improve browsing experience. The results suggest…

Citation impact

317
total citations
FWCI
Percentile
References
18
Citations per year

Authors

2

Topics & keywords

Keywords
  • Folksonomy
  • Tag cloud
  • Computer science
  • Information retrieval
  • Search engine indexing
  • Categorization
  • Set (abstract data type)
  • Cluster analysis
UN Sustainable Development Goals
  • Quality Education
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