Capturing the user's reading context for tailoring summaries

Cécile Paris; Stephen Wan

doi:10.1007/978-3-642-02247-0_33

Capturing the user's reading context for tailoring summaries

Cécile Paris^*, Stephen Wan

^*Corresponding author for this work

School of Computing

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

2 Citations (Scopus)

Abstract

The web has become a major source of information to learn about a topic. With the continuous growth of information and its high connectivity, it is hard to follow only the links that are relevant and not to get lost in hyperspace. Our aim is to support people who read documents in a highly connected information space, helping them remain on focus. Our contextually-aware in-browser text summarisation tool, IBES, does this by capturing users' current interests and providing users with contextualised summaries of linked documents, to help them decide whether the link is worth following.

Original language	English
Title of host publication	User Modeling, Adaptation, and Personalization - 17th International Conference, UMAP 2009 formerly UM and AH, Proceedings
Pages	337-342
Number of pages	6
Volume	5535 LNCS
DOIs	https://doi.org/10.1007/978-3-642-02247-0_33
Publication status	Published - 2009
Event	17th International Conference on User Modeling, Adaptation, and Personalization, UMAP 2009 - Trento, Italy Duration: 22 Jun 2009 → 26 Jun 2009

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	5535 LNCS
ISSN (Print)	03029743
ISSN (Electronic)	16113349

Other

Other	17th International Conference on User Modeling, Adaptation, and Personalization, UMAP 2009
Country/Territory	Italy
City	Trento
Period	22/06/09 → 26/06/09

Keywords

Browsing support tool
Tailored summaries
User's interest

Access to Document

10.1007/978-3-642-02247-0_33

Cite this

Paris, C., & Wan, S. (2009). Capturing the user's reading context for tailoring summaries. In User Modeling, Adaptation, and Personalization - 17th International Conference, UMAP 2009 formerly UM and AH, Proceedings (Vol. 5535 LNCS, pp. 337-342). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5535 LNCS). https://doi.org/10.1007/978-3-642-02247-0_33

Paris, Cécile ; Wan, Stephen. / Capturing the user's reading context for tailoring summaries. User Modeling, Adaptation, and Personalization - 17th International Conference, UMAP 2009 formerly UM and AH, Proceedings. Vol. 5535 LNCS 2009. pp. 337-342 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Capturing the user's reading context for tailoring summaries",

abstract = "The web has become a major source of information to learn about a topic. With the continuous growth of information and its high connectivity, it is hard to follow only the links that are relevant and not to get lost in hyperspace. Our aim is to support people who read documents in a highly connected information space, helping them remain on focus. Our contextually-aware in-browser text summarisation tool, IBES, does this by capturing users' current interests and providing users with contextualised summaries of linked documents, to help them decide whether the link is worth following.",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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booktitle = "User Modeling, Adaptation, and Personalization - 17th International Conference, UMAP 2009 formerly UM and AH, Proceedings",

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Paris, C & Wan, S 2009, Capturing the user's reading context for tailoring summaries. in User Modeling, Adaptation, and Personalization - 17th International Conference, UMAP 2009 formerly UM and AH, Proceedings. vol. 5535 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 5535 LNCS, pp. 337-342, 17th International Conference on User Modeling, Adaptation, and Personalization, UMAP 2009, Trento, Italy, 22/06/09. https://doi.org/10.1007/978-3-642-02247-0_33

Capturing the user's reading context for tailoring summaries. / Paris, Cécile; Wan, Stephen.

User Modeling, Adaptation, and Personalization - 17th International Conference, UMAP 2009 formerly UM and AH, Proceedings. Vol. 5535 LNCS 2009. p. 337-342 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5535 LNCS).

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

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AU - Wan, Stephen

PY - 2009

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N2 - The web has become a major source of information to learn about a topic. With the continuous growth of information and its high connectivity, it is hard to follow only the links that are relevant and not to get lost in hyperspace. Our aim is to support people who read documents in a highly connected information space, helping them remain on focus. Our contextually-aware in-browser text summarisation tool, IBES, does this by capturing users' current interests and providing users with contextualised summaries of linked documents, to help them decide whether the link is worth following.

AB - The web has become a major source of information to learn about a topic. With the continuous growth of information and its high connectivity, it is hard to follow only the links that are relevant and not to get lost in hyperspace. Our aim is to support people who read documents in a highly connected information space, helping them remain on focus. Our contextually-aware in-browser text summarisation tool, IBES, does this by capturing users' current interests and providing users with contextualised summaries of linked documents, to help them decide whether the link is worth following.

KW - Browsing support tool

KW - Tailored summaries

KW - User's interest

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U2 - 10.1007/978-3-642-02247-0_33

DO - 10.1007/978-3-642-02247-0_33

M3 - Conference proceeding contribution

AN - SCOPUS:70349816405

SN - 3642022464

SN - 9783642022463

VL - 5535 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 337

EP - 342

BT - User Modeling, Adaptation, and Personalization - 17th International Conference, UMAP 2009 formerly UM and AH, Proceedings

T2 - 17th International Conference on User Modeling, Adaptation, and Personalization, UMAP 2009

Y2 - 22 June 2009 through 26 June 2009

ER -

Paris C, Wan S. Capturing the user's reading context for tailoring summaries. In User Modeling, Adaptation, and Personalization - 17th International Conference, UMAP 2009 formerly UM and AH, Proceedings. Vol. 5535 LNCS. 2009. p. 337-342. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-02247-0_33

Capturing the user's reading context for tailoring summaries

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