On the selection of tags for tag clouds

Venetis, Petros; Koutrika, Georgia; García-Molina, Héctor

doi:10.1145/1935826.1935855

Cited by 60 publications

(50 citation statements)

References 12 publications

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“…The goal herein is to place photos on a map, i.e., provide an automatic alternative to manual geo-tagging. Venetis et al [56] examine techniques to create a "tag-cloud", i.e., a set of terms/tags able to provide a brief yet rich description of a large set of terms/tags. They present and define certain user models, metrics and algorithms aiming at this goal.…”

Section: Exploiting Only Textual Metadatamentioning

confidence: 99%

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Analyzing Flickr metadata to extract location-based information and semantically organize its photo content

Spyrou

Mylonas

2016

Neurocomputing

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Section: Exploiting Only Textual Metadatamentioning

confidence: 99%

“…In order to formalize this effect we choose a similar approach to the one of Venetis and al. [56]. Let us first define:…”

Section: Modeling Clusters and Usersmentioning

confidence: 99%

Analyzing Flickr metadata to extract location-based information and semantically organize its photo content

Spyrou

Mylonas

2016

Neurocomputing

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“…provide an automatic alternative to manual geo-tagging. Venetis et al [13] examined techniques to create a "tag-cloud", i.e. a set of terms/tags able to provide a brief yet rich description of a large set of terms/tags.…”

Section: Aren't Tags Text After All?mentioning

confidence: 99%

A Survey of Geo-tagged Multimedia Content Analysis within Flickr

Spyrou

Mylonas

2014

Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications

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Abstract. Our survey paper attempts to investigate how recent and undoubted emerge in enriched, geo-tagged social networks' multimedia content sharing works to the benefit of their users and whether it could be handled in a formal way, in order to capture the meaningful semantics rising from this newly introduced user experience. It further specializes its focus by providing an overview of current state-of-the-art techniques with respect to geo-tagged content access, processing and manipulation within the popular Flickr social network. In this manner it explores the role of information retrieval, integration and extraction from the technical point of view, coupled together with human social network activities, like, for instance, localization and recommendations based on pre-processed collaborative geo-tagged photos, resulting into more efficient, optimized search results.

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“…For each query, we display the top N most frequent co-occuring tags to the user. This approach was shown to be the one of the best choices to create a tag cloud from the prospective of tag-based search and browsing [37]. It is currently the most popular algorithm to generate tag clouds.…”

Section: The Tag Cloud Interfacementioning

confidence: 99%

Evaluating tag-based information access in image collections

Trattner

Lin

Parra

et al. 2012

Proceedings of the 23rd ACM Conference on Hypertext and Social Media

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The availability of social tags has greatly enhanced both searchbased and browsing-based access to information. Tag clouds, emerged as a new "social" way to find and visualize information providing both one-click access to information and a snapshot of the "aboutness" of a tagged collection. A range of research projects explored and compared different types of tag artifacts for information access ranging from regular tag clouds to tag hierarchies. At the same time, there is a lack of user studies that compare the effectiveness of different types of tag-based browsing interfaces from the users point of view. This paper contributes to the research on tag-based information access by presenting controlled user study that compared three types of tag-based browsing interfaces on two recognized types of search tasks -lookup and exploratory search tasks. Our results demonstrate that tag-based browsing interfaces significantly outperforms traditional search only Interfaces in both performance and user satisfaction. At the same time, the differences between the two types of tag-based browsing interfaces are not as clear. While users think they want a more advanced interface, they perform better with a simpler tag cloud interface.

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On the selection of tags for tag clouds

Cited by 60 publications

References 12 publications

Analyzing Flickr metadata to extract location-based information and semantically organize its photo content

Analyzing Flickr metadata to extract location-based information and semantically organize its photo content

A Survey of Geo-tagged Multimedia Content Analysis within Flickr

Evaluating tag-based information access in image collections

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