Tag Clusters as Information Retrieval Interfaces

Kathrin Knautz, Simone Soubusta, Wolfgang G. Stock
2010 2010 43rd Hawaii International Conference on System Sciences  
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
more » ... tag clusters are perceived as more useful than tag clouds, are much more trustworthy, and are more enjoyable to use.
doi:10.1109/hicss.2010.360 dblp:conf/hicss/KnautzSS10 fatcat:wbp25jvk6rdb3evqwnrireng7q