Automated Tag Clustering: Improving search and exploration in the tag space

531 citations recorded by the source corpus.

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Evaluating similarity measures for emergent semantics of social tagging (2009, methodology): “among tags have been built using co-occurrence [4, 44] and Jaccard’s coefficient [18], also to reconstruct a concept hierarchy [19].”
Content-based visual search learned from social media (2012, methodology): “Query expansion methods augment the original query by automatically adding relevant terms [10, 21, 72].”
Recommender Systems (2016, unknown): “Tag-clustering methods are proposed in [70, 215, 542].”
Latent dirichlet allocation for tag recommendation (2009, background): “In [5], Begelman et al. present a tag clustering algorithm to improve search.”
Integrating Folksonomies with the Semantic Web (2007, background): “In (Begelman et al., 2006), the tag space is first organized according to their co-occurrences in annotating different resources.”
Real-time automatic tag recommendation (2008, background): “Existing research on tagging services includes improving the quality of searching and recommendation in the tag space [2], analyzing the usage patterns of tagging systems [11], and automating the process of tag assignment [4].”
Personalized recommendation in social tagging systems using hierarchical clustering (2008, background): “Further support for the utility of clustering is offered in [2] where improvement in search through clustering is theorized.”