MEMOSE: search engine for emotions in multimedia documents
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Colorizing tags in tag cloud: a novel query-by-tag music search system
MM '11 Proceedings of the 19th ACM international conference on Multimedia
Evaluating tag-based information access in image collections
Proceedings of the 23rd ACM conference on Hypertext and social media
Methodologies for improved tag cloud generation with clustering
ICWE'12 Proceedings of the 12th international conference on Web Engineering
Exploratory analysis of highly heterogeneous document collections
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
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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.