Tag Clusters as Information Retrieval Interfaces
The paper presents our design of a next generation information retrieval system based on tag co-occurrences and subsequent clustering. We help users getting access to digital data through information visualization in the form of tag clusters. Current problems like the absence of interactivity and se...
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| creator | Knautz, K. Soubusta, S. Stock, W.G. |
| description | The paper presents our design of a next generation information retrieval system based on tag co-occurrences and subsequent clustering. We help users getting access to digital data through information visualization in the form of tag clusters. Current problems like the absence of interactivity and semantics between tags or the difficulty of adding additional search arguments are solved. In the evaluation, based upon SERVQUAL and IT systems quality indicators, we found out that tag clusters are perceived as more useful than tag clouds, are much more trustworthy, and are more enjoyable to use. |
| doi_str_mv | 10.1109/HICSS.2010.360 |
| format | Conference Proceeding |
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| identifier | ISSN: 1530-1605 |
| ispartof | 2010 43rd Hawaii International Conference on System Sciences, 2010, p.1-10 |
| issn | 1530-1605 2572-6862 |
| language | eng |
| recordid | cdi_ieee_primary_5428321 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Data visualization Human computer interaction Information retrieval Information science Search engines Tag clouds Videos Web page design YouTube |
| title | Tag Clusters as Information Retrieval Interfaces |
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