A social bookmarking system to support cluster driven archival arrangement

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

doi:10.1145/2637002.2637046

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 proceeding › Conference contribution › Academic › peer-review

4 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 language	English
Title of host publication	Proceedings of the 5th Information Interaction in Context Symposium, IIiX 2014
Publisher	Association for Computing Machinery
Pages	295-298
Number of pages	4
ISBN (Print)	9781450329767
DOIs	https://doi.org/10.1145/2637002.2637046
Publication status	Published - 1 Jan 2014
Externally published	Yes
Event	5th Information Interaction in Context Symposium, IIiX 2014 - Regensburg, Germany Duration: 26 Aug 2014 → 30 Aug 2014 Conference number: 5

Conference

Conference	5th Information Interaction in Context Symposium, IIiX 2014
Abbreviated title	IIiX 2014
Country/Territory	Germany
City	Regensburg
Period	26/08/14 → 30/08/14

Keywords

archives
clustering
social bookmarking

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/2637002.2637046

Cite this

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title = "A social bookmarking system to support cluster driven archival arrangement",

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.",

keywords = "archives, clustering, social bookmarking",

author = "Marc Bron and {Van Der Werf}, Titia and Shenghui Wang and {De Rijke}, Maarten",

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doi = "10.1145/2637002.2637046",

language = "English",

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booktitle = "Proceedings of the 5th Information Interaction in Context Symposium, IIiX 2014",

publisher = "Association for Computing Machinery",

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note = "5th Information Interaction in Context Symposium, IIiX 2014, IIiX 2014 ; Conference date: 26-08-2014 Through 30-08-2014",

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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. Association for Computing Machinery, pp. 295-298, 5th Information Interaction in Context Symposium, IIiX 2014, Regensburg, Germany, 26/08/14. https://doi.org/10.1145/2637002.2637046

A social bookmarking system to support cluster driven archival arrangement. / Bron, Marc; Van Der Werf, Titia; Wang, Shenghui et al.
Proceedings of the 5th Information Interaction in Context Symposium, IIiX 2014. Association for Computing Machinery, 2014. p. 295-298.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

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AU - Van Der Werf, Titia

AU - Wang, Shenghui

AU - De Rijke, Maarten

N1 - Conference code: 5

PY - 2014/1/1

Y1 - 2014/1/1

N2 - 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.

AB - 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.

KW - archives

KW - clustering

KW - social bookmarking

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U2 - 10.1145/2637002.2637046

DO - 10.1145/2637002.2637046

M3 - Conference contribution

AN - SCOPUS:84907016673

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EP - 298

BT - Proceedings of the 5th Information Interaction in Context Symposium, IIiX 2014

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ER -

A social bookmarking system to support cluster driven archival arrangement

Abstract

Conference

Keywords

UN SDGs

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