A social bookmarking system to support cluster driven archival arrangement

Marc Bron, Titia Van Der Werf, Shenghui Wang, Maarten De Rijke

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

3 Citations (Scopus)

Abstract

Cultural heritage materials are increasingly being made available through standard search facilities. However, it is challenging to automatically organize these materials in a way that is well aligned with users' specific interests. We report on the development of a social bookmaking system to collect human annotations that are used to measure the performance of three different clustering algorithms. We find that there is a discrepancy between the latent structure present in the data and the clusters annotated by humans. However, it is difficult to detect such discrepancies explicitly.

Original languageEnglish
Title of host publicationProceedings of the 5th Information Interaction in Context Symposium, IIiX 2014
PublisherAssociation for Computing Machinery (ACM)
Pages295-298
Number of pages4
ISBN (Print)9781450329767
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event5th Information Interaction in Context Symposium, IIiX 2014 - Regensburg, Germany
Duration: 26 Aug 201430 Aug 2014
Conference number: 5

Conference

Conference5th Information Interaction in Context Symposium, IIiX 2014
Abbreviated titleIIiX 2014
CountryGermany
CityRegensburg
Period26/08/1430/08/14

Keywords

  • archives
  • clustering
  • social bookmarking

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  • Cite this

    Bron, M., Van Der Werf, T., Wang, S., & De Rijke, M. (2014). A social bookmarking system to support cluster driven archival arrangement. In Proceedings of the 5th Information Interaction in Context Symposium, IIiX 2014 (pp. 295-298). Association for Computing Machinery (ACM). https://doi.org/10.1145/2637002.2637046