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2012
ACM

Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similarities

7 years 6 months ago
Beyond co-occurrence: discovering and visualizing tag relationships from geo-spatial and temporal similarities
Studying relationships between keyword tags on social sharing websites has become a popular topic of research, both to improve tag suggestion systems and to discover connections between the concepts that the tags represent. Existing approaches have largely relied on tag co-occurrences. In this paper, we show how to find connections between tags by comparing their distributions over time and space, discovering tags with similar geographic and temporal patterns of use. Geo-spatial, temporal and geo-temporal distributions of tags are extracted and represented as vectors which can then be compared and clustered. Using a dataset of tens of millions of geo-tagged Flickr photos, we show that we can cluster Flickr photo tags based on their geographic and temporal patterns, and we evaluate the results both qualitatively and quantitatively using a panel of human judges. We also develop visualizations of temporal and geographic tag distributions, and show that they help humans recognize semanti...
Haipeng Zhang, Mohammed Korayem, Erkang You, David
Added 25 Apr 2012
Updated 25 Apr 2012
Type Journal
Year 2012
Where WSDM
Authors Haipeng Zhang, Mohammed Korayem, Erkang You, David J. Crandall
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