Methodologies for Improved Tag Cloud Generation with Clustering

Martin Leginus; Peter Dolog; Ricardo Gomes Lage; Frederico Durao

doi:10.1007/978-3-642-31753-8_5

Methodologies for Improved Tag Cloud Generation with Clustering

Martin Leginus, Peter Dolog, Ricardo Gomes Lage, Frederico Durao

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

6 Citations (Scopus)

Abstract

Tag clouds are useful means for navigation in the social web
systems. Usually the systems implement the tag cloud generation based
on tag popularity which is not always the best method. In this paper
we propose methodologies on how to combine clustering into the tag
cloud generation to improve coverage and overlap. We study several clustering algorithms to generate tag clouds. We show that by extending
cloud generation based on tag popularity with clustering we slightly improve coverage. We also show that if the cloud is generated by clustering
independently of the tag popularity baseline we minimize overlap and
increase coverage. In the ﬁrst case we therefore provide more items for a
user to explore. In the second case we provide more diverse items for a
user to explore. We experiment with the methodologies on two diﬀerent
datasets: Delicious and Bibsonomy. The methodologies perform slightly
better on bibsonomy due to its speciﬁc focus. The best performing is the
hierarchical clustering.

Original language	English
Title of host publication	Proceedings of the 12th international conference on Web Engineering
Number of pages	15
Publisher	Springer
Publication date	2012
Pages	61–75
DOIs	https://doi.org/10.1007/978-3-642-31753-8_5
Publication status	Published - 2012
Event	International conference on Web Engineering - Berlin, Germany Duration: 23 Jul 2012 → 27 Jul 2012 Conference number: 12

Conference

Conference	International conference on Web Engineering
Number	12
Country/Territory	Germany
City	Berlin
Period	23/07/2012 → 27/07/2012

Series	Lecture Notes in Computer Science
ISSN	0302-9743

Keywords

tag clouds
clustering

Access to Document

10.1007/978-3-642-31753-8_5

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Search for the material in Aalborg University Library's search engine

Cite this

@inproceedings{f3e37fefbaa8461aa5663346ef79c7b2,

title = "Methodologies for Improved Tag Cloud Generation with Clustering",

abstract = "Tag clouds are useful means for navigation in the social websystems. Usually the systems implement the tag cloud generation basedon tag popularity which is not always the best method. In this paperwe propose methodologies on how to combine clustering into the tagcloud generation to improve coverage and overlap. We study several clustering algorithms to generate tag clouds. We show that by extendingcloud generation based on tag popularity with clustering we slightly improve coverage. We also show that if the cloud is generated by clusteringindependently of the tag popularity baseline we minimize overlap andincrease coverage. In the ﬁrst case we therefore provide more items for auser to explore. In the second case we provide more diverse items for auser to explore. We experiment with the methodologies on two diﬀerentdatasets: Delicious and Bibsonomy. The methodologies perform slightlybetter on bibsonomy due to its speciﬁc focus. The best performing is thehierarchical clustering.",

keywords = "tag clouds, clustering",

author = "Martin Leginus and Peter Dolog and Lage, {Ricardo Gomes} and Frederico Durao",

year = "2012",

doi = "10.1007/978-3-642-31753-8_5",

language = "English",

series = "Lecture Notes in Computer Science",

publisher = "Springer",

pages = "61–75",

booktitle = "Proceedings of the 12th international conference on Web Engineering",

address = "Germany",

note = "International conference on Web Engineering, ICWE2012 ; Conference date: 23-07-2012 Through 27-07-2012",

}

Methodologies for Improved Tag Cloud Generation with Clustering. / Leginus, Martin; Dolog, Peter; Lage, Ricardo Gomes et al.
Proceedings of the 12th international conference on Web Engineering. Springer, 2012. p. 61–75 (Lecture Notes in Computer Science).

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - Methodologies for Improved Tag Cloud Generation with Clustering

AU - Leginus, Martin

AU - Dolog, Peter

AU - Lage, Ricardo Gomes

AU - Durao, Frederico

N1 - Conference code: 12

PY - 2012

Y1 - 2012

N2 - Tag clouds are useful means for navigation in the social websystems. Usually the systems implement the tag cloud generation basedon tag popularity which is not always the best method. In this paperwe propose methodologies on how to combine clustering into the tagcloud generation to improve coverage and overlap. We study several clustering algorithms to generate tag clouds. We show that by extendingcloud generation based on tag popularity with clustering we slightly improve coverage. We also show that if the cloud is generated by clusteringindependently of the tag popularity baseline we minimize overlap andincrease coverage. In the ﬁrst case we therefore provide more items for auser to explore. In the second case we provide more diverse items for auser to explore. We experiment with the methodologies on two diﬀerentdatasets: Delicious and Bibsonomy. The methodologies perform slightlybetter on bibsonomy due to its speciﬁc focus. The best performing is thehierarchical clustering.

AB - Tag clouds are useful means for navigation in the social websystems. Usually the systems implement the tag cloud generation basedon tag popularity which is not always the best method. In this paperwe propose methodologies on how to combine clustering into the tagcloud generation to improve coverage and overlap. We study several clustering algorithms to generate tag clouds. We show that by extendingcloud generation based on tag popularity with clustering we slightly improve coverage. We also show that if the cloud is generated by clusteringindependently of the tag popularity baseline we minimize overlap andincrease coverage. In the ﬁrst case we therefore provide more items for auser to explore. In the second case we provide more diverse items for auser to explore. We experiment with the methodologies on two diﬀerentdatasets: Delicious and Bibsonomy. The methodologies perform slightlybetter on bibsonomy due to its speciﬁc focus. The best performing is thehierarchical clustering.

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KW - clustering

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U2 - 10.1007/978-3-642-31753-8_5

DO - 10.1007/978-3-642-31753-8_5

M3 - Article in proceeding

T3 - Lecture Notes in Computer Science

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EP - 75

BT - Proceedings of the 12th international conference on Web Engineering

PB - Springer

T2 - International conference on Web Engineering

Y2 - 23 July 2012 through 27 July 2012

ER -

Methodologies for Improved Tag Cloud Generation with Clustering

Abstract

Conference

Keywords

Access to Document

AUB Link

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MEco: MEco - Medical Ecosystem - Personalized Event-Based Surveillance

Cite this

Methodologies for Improved Tag Cloud Generation with Clustering

Abstract

Conference

Keywords

Access to Document

AUB Link

Other files and links

Fingerprint

Projects

MEco: MEco - Medical Ecosystem - Personalized Event-Based Surveillance

Cite this