Improving Tag-Clouds as Visual Information Retrieval Interfaces
Indexed inarxivdatacite
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
2Topics & keywords
Topics
Keywords
- Folksonomy
- Tag cloud
- Computer science
- Information retrieval
- Search engine indexing
- Categorization
- Set (abstract data type)
- Cluster analysis
UN Sustainable Development Goals
- Quality Education
No related works found for this paper.