Searching for Old News: User Interests and Behavior within a National Collection

Tessel Bogaard; Laura Hollink; Jan Wielemaker; Lynda Hardman; Jacco van Ossenbruggen

doi:10.1145/3295750.3298925

Searching for Old News: User Interests and Behavior within a National Collection

Tessel Bogaard, Laura Hollink, Jan Wielemaker, Lynda Hardman, Jacco van Ossenbruggen

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

Abstract

Modeling user interests helps to improve system support or refine recommendations in Interactive Information Retrieval. The aim of this study is to identify user interests in different parts of an online collection and investigate the related search behavior. To do this, we propose to use the metadata of selected facets and clicked documents as features for clustering sessions identified in user logs. We evaluate the session clusters by measuring their stability over a six-month period.

We apply our approach to data from the National Library of the Netherlands, a typical digital library with a richly annotated historical newspaper collection and a faceted search interface. Our results show that users interested in specific parts of the collection use different search techniques. We demonstrate that a metadata-based clustering helps to reveal and understand user interests in terms of the collection, and how search behavior is related to specific parts within the collection.

Original language	English
Title of host publication	Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, CHIIR 2019, Glasgow, Scotland, UK, March 10-14, 2019
Editors	Leif Azzopardi, Martin Halvey, Ian Ruthven, Hideo Joho, Vanessa Murdock, Pernilla Qvarfordt
Publisher	Association for Computing Machinery
Pages	113-121
Number of pages	9
ISBN (Print)	978-1-4503-6025-8
DOIs	https://doi.org/10.1145/3295750.3298925
Publication status	Published - 2019

Keywords

User interest
Search behavior
Digital libraries
Metadata
Log analysis
Clustering

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10.1145/3295750.3298925

3295750.3298925Final published version, 595 KBLicence: Taverne

Cite this

Bogaard, T., Hollink, L., Wielemaker, J., Hardman, L., & Ossenbruggen, J. V. (2019). Searching for Old News: User Interests and Behavior within a National Collection. In L. Azzopardi, M. Halvey, I. Ruthven, H. Joho, V. Murdock, & P. Qvarfordt (Eds.), Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, CHIIR 2019, Glasgow, Scotland, UK, March 10-14, 2019 (pp. 113-121). Association for Computing Machinery. https://doi.org/10.1145/3295750.3298925

Bogaard, Tessel ; Hollink, Laura ; Wielemaker, Jan et al. / Searching for Old News: User Interests and Behavior within a National Collection. Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, CHIIR 2019, Glasgow, Scotland, UK, March 10-14, 2019. editor / Leif Azzopardi ; Martin Halvey ; Ian Ruthven ; Hideo Joho ; Vanessa Murdock ; Pernilla Qvarfordt. Association for Computing Machinery, 2019. pp. 113-121

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title = "Searching for Old News: User Interests and Behavior within a National Collection",

abstract = "Modeling user interests helps to improve system support or refine recommendations in Interactive Information Retrieval. The aim of this study is to identify user interests in different parts of an online collection and investigate the related search behavior. To do this, we propose to use the metadata of selected facets and clicked documents as features for clustering sessions identified in user logs. We evaluate the session clusters by measuring their stability over a six-month period.We apply our approach to data from the National Library of the Netherlands, a typical digital library with a richly annotated historical newspaper collection and a faceted search interface. Our results show that users interested in specific parts of the collection use different search techniques. We demonstrate that a metadata-based clustering helps to reveal and understand user interests in terms of the collection, and how search behavior is related to specific parts within the collection.",

keywords = "User interest, Search behavior, Digital libraries, Metadata, Log analysis, Clustering",

author = "Tessel Bogaard and Laura Hollink and Jan Wielemaker and Lynda Hardman and Ossenbruggen, {Jacco van}",

year = "2019",

doi = "10.1145/3295750.3298925",

language = "English",

isbn = "978-1-4503-6025-8",

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editor = "Leif Azzopardi and Martin Halvey and Ian Ruthven and Hideo Joho and Vanessa Murdock and Pernilla Qvarfordt",

booktitle = "Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, CHIIR 2019, Glasgow, Scotland, UK, March 10-14, 2019",

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Bogaard, T, Hollink, L, Wielemaker, J, Hardman, L & Ossenbruggen, JV 2019, Searching for Old News: User Interests and Behavior within a National Collection. in L Azzopardi, M Halvey, I Ruthven, H Joho, V Murdock & P Qvarfordt (eds), Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, CHIIR 2019, Glasgow, Scotland, UK, March 10-14, 2019. Association for Computing Machinery, pp. 113-121. https://doi.org/10.1145/3295750.3298925

Searching for Old News: User Interests and Behavior within a National Collection. / Bogaard, Tessel; Hollink, Laura; Wielemaker, Jan et al.
Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, CHIIR 2019, Glasgow, Scotland, UK, March 10-14, 2019. ed. / Leif Azzopardi; Martin Halvey; Ian Ruthven; Hideo Joho; Vanessa Murdock; Pernilla Qvarfordt. Association for Computing Machinery, 2019. p. 113-121.

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

TY - GEN

T1 - Searching for Old News: User Interests and Behavior within a National Collection

AU - Bogaard, Tessel

AU - Hollink, Laura

AU - Wielemaker, Jan

AU - Hardman, Lynda

AU - Ossenbruggen, Jacco van

PY - 2019

Y1 - 2019

N2 - Modeling user interests helps to improve system support or refine recommendations in Interactive Information Retrieval. The aim of this study is to identify user interests in different parts of an online collection and investigate the related search behavior. To do this, we propose to use the metadata of selected facets and clicked documents as features for clustering sessions identified in user logs. We evaluate the session clusters by measuring their stability over a six-month period.We apply our approach to data from the National Library of the Netherlands, a typical digital library with a richly annotated historical newspaper collection and a faceted search interface. Our results show that users interested in specific parts of the collection use different search techniques. We demonstrate that a metadata-based clustering helps to reveal and understand user interests in terms of the collection, and how search behavior is related to specific parts within the collection.

AB - Modeling user interests helps to improve system support or refine recommendations in Interactive Information Retrieval. The aim of this study is to identify user interests in different parts of an online collection and investigate the related search behavior. To do this, we propose to use the metadata of selected facets and clicked documents as features for clustering sessions identified in user logs. We evaluate the session clusters by measuring their stability over a six-month period.We apply our approach to data from the National Library of the Netherlands, a typical digital library with a richly annotated historical newspaper collection and a faceted search interface. Our results show that users interested in specific parts of the collection use different search techniques. We demonstrate that a metadata-based clustering helps to reveal and understand user interests in terms of the collection, and how search behavior is related to specific parts within the collection.

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M3 - Conference contribution

SN - 978-1-4503-6025-8

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BT - Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, CHIIR 2019, Glasgow, Scotland, UK, March 10-14, 2019

A2 - Azzopardi, Leif

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PB - Association for Computing Machinery

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Bogaard T, Hollink L, Wielemaker J, Hardman L, Ossenbruggen JV. Searching for Old News: User Interests and Behavior within a National Collection. In Azzopardi L, Halvey M, Ruthven I, Joho H, Murdock V, Qvarfordt P, editors, Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, CHIIR 2019, Glasgow, Scotland, UK, March 10-14, 2019. Association for Computing Machinery. 2019. p. 113-121 doi: 10.1145/3295750.3298925

Searching for Old News: User Interests and Behavior within a National Collection

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Keywords

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