Reexamining the cluster hypothesis: scatter/gather on retrieval results
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Grouper: a dynamic clustering interface to Web search results
WWW '99 Proceedings of the eighth international conference on World Wide Web
Text Classification from Labeled and Unlabeled Documents using EM
Machine Learning - Special issue on information retrieval
Automatic categorization of query results
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Learning to cluster web search results
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Getting our head in the clouds: toward evaluation studies of tagclouds
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Tag clouds for summarizing web search results
Proceedings of the 16th international conference on World Wide Web
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Optimising topical query decomposition
Proceedings of the 2009 workshop on Web Search Click Data
Data clouds: summarizing keyword search results over structured data
Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology
Phrase-based hierarchical clustering of web search results
ECIR'03 Proceedings of the 25th European conference on IR research
Word clouds of multiple search results
IRFC'11 Proceedings of the Second international conference on Multidisciplinary information retrieval facility
Proceedings of the 20th ACM international conference on Information and knowledge management
Characterizing and harnessing peer-production of information in social tagging systems
Proceedings of the fifth ACM international conference on Web search and data mining
Reorganizing clouds: A study on tag clustering and evaluation
Expert Systems with Applications: An International Journal
SimSpectrum: a similarity based spectral clustering approach to generate a tag cloud
ICWE'11 Proceedings of the 11th international conference on Current Trends in Web Engineering
Analysis of adjective-noun word pair extraction methods for online review summarization
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Evaluating tag-based information access in image collections
Proceedings of the 23rd ACM conference on Hypertext and social media
Folksonomy-Based Term Extraction for Word Cloud Generation
ACM Transactions on Intelligent Systems and Technology (TIST)
Discovering coverage patterns for banner advertisement placement
PAKDD'12 Proceedings of the 16th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining - Volume Part II
Methodologies for improved tag cloud generation with clustering
ICWE'12 Proceedings of the 12th international conference on Web Engineering
Assessing the quality of textual features in social media
Information Processing and Management: an International Journal
Graph based techniques for tag cloud generation
Proceedings of the 24th ACM Conference on Hypertext and Social Media
A cloud of FAQ: A highly-precise FAQ retrieval system for the Web 2.0
Knowledge-Based Systems
Tag cloud generation for results of multiple keywords queries
ICWE'13 Proceedings of the 13th international conference on Web Engineering
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We examine the creation of a tag cloud for exploring and understanding a set of objects (e.g., web pages, documents). In the first part of our work, we present a formal system model for reasoning about tag clouds. We then present metrics that capture the structural properties of a tag cloud, and we briefly present a set of tag selection algorithms that are used in current sites (e.g., del.icio.us, Flickr, Technorati) or that have been described in recent work. In order to evaluate the results of these algorithms, we devise a novel synthetic user model. This user model is specifically tailored for tag cloud evaluation and assumes an "ideal" user. We evaluate the algorithms under this user model, as well as the model itself, using two datasets: CourseRank (a Stanford social tool containing information about courses) and del.icio.us (a social bookmarking site). The results yield insights as to when and why certain selection schemes work best.