Analysis of tag-based Recommendation Performance for a Semantic Wiki

Frederico Durao, Peter Dolog

Research output: Contribution to journalConference article in JournalResearchpeer-review

1 Citation (Scopus)

Abstract

Recommendations play a very important role for revealing related topics addressed in the wikis beyond the currently viewed page. In this paper, we extend KiWi, a semantic wiki with three different recommendation approaches. The first approach is implemented as a traditional tag-based retrieval, the second takes into account external factors such as tag popularity, tag representativeness and the affinity between user and tag and the third approach recommends pages in grouped by tag. The experiment evaluates the wiki performance in different scenarios regarding the amount of pages, tags and users. The results provide insights for the efficient widget allocation and performance management
Original languageEnglish
JournalCEUR Workshop Proceedings
Pages (from-to)141-154
ISSN1613-0073
Publication statusPublished - 2009
EventForth Semantic Wiki Workshop (SemWiki 2009) - Heraklion, Greece
Duration: 1 Jun 2009 → …
Conference number: 4

Conference

ConferenceForth Semantic Wiki Workshop (SemWiki 2009)
Number4
CountryGreece
CityHeraklion
Period01/06/2009 → …

Fingerprint

Semantics
Experiments

Keywords

  • personalization
  • semantic
  • wiki
  • tag

Cite this

@inproceedings{409b6cb0ebd611deb63d000ea68e967b,
title = "Analysis of tag-based Recommendation Performance for a Semantic Wiki",
abstract = "Recommendations play a very important role for revealing related topics addressed in the wikis beyond the currently viewed page. In this paper, we extend KiWi, a semantic wiki with three different recommendation approaches. The first approach is implemented as a traditional tag-based retrieval, the second takes into account external factors such as tag popularity, tag representativeness and the affinity between user and tag and the third approach recommends pages in grouped by tag. The experiment evaluates the wiki performance in different scenarios regarding the amount of pages, tags and users. The results provide insights for the efficient widget allocation and performance management",
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author = "Frederico Durao and Peter Dolog",
note = "Volumne: 464",
year = "2009",
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journal = "CEUR Workshop Proceedings",
issn = "1613-0073",
publisher = "CEUR Workshop Proceedings",

}

Analysis of tag-based Recommendation Performance for a Semantic Wiki. / Durao, Frederico; Dolog, Peter.

In: CEUR Workshop Proceedings, 2009, p. 141-154.

Research output: Contribution to journalConference article in JournalResearchpeer-review

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T1 - Analysis of tag-based Recommendation Performance for a Semantic Wiki

AU - Durao, Frederico

AU - Dolog, Peter

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PY - 2009

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N2 - Recommendations play a very important role for revealing related topics addressed in the wikis beyond the currently viewed page. In this paper, we extend KiWi, a semantic wiki with three different recommendation approaches. The first approach is implemented as a traditional tag-based retrieval, the second takes into account external factors such as tag popularity, tag representativeness and the affinity between user and tag and the third approach recommends pages in grouped by tag. The experiment evaluates the wiki performance in different scenarios regarding the amount of pages, tags and users. The results provide insights for the efficient widget allocation and performance management

AB - Recommendations play a very important role for revealing related topics addressed in the wikis beyond the currently viewed page. In this paper, we extend KiWi, a semantic wiki with three different recommendation approaches. The first approach is implemented as a traditional tag-based retrieval, the second takes into account external factors such as tag popularity, tag representativeness and the affinity between user and tag and the third approach recommends pages in grouped by tag. The experiment evaluates the wiki performance in different scenarios regarding the amount of pages, tags and users. The results provide insights for the efficient widget allocation and performance management

KW - personalization

KW - semantic

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M3 - Conference article in Journal

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EP - 154

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

SN - 1613-0073

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