Finding web document associations using frequent pairs of adjacent words

Jason Yong Jin Tee; Lay Ki Soon; Bali Ranaivo-Malançon

doi:10.1007/978-3-642-32826-8_39

Finding web document associations using frequent pairs of adjacent words

Jason Yong Jin Tee, Lay Ki Soon, Bali Ranaivo-Malançon

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

Abstract

This paper presents an approach to find associations between Web documents using collocated word pairs. Given two Web documents which are connected via a hyperlink, we attempt to find the contextual association of these two Web pages by using collocations of word pairs from a statistical point of view. Our preliminary experimental results show that our approach is able to extract fairly coherent word pairs to derive associations between hyperlinked Web documents.

Original language	English
Title of host publication	Knowledge Technology - Third Knowledge Technology Week, KTW 2011, Revised Selected Papers
Pages	360-363
Number of pages	4
DOIs	https://doi.org/10.1007/978-3-642-32826-8_39
Publication status	Published - 2012
Externally published	Yes
Event	Knowledge Technology Week 2011 - Kajang, Malaysia Duration: 18 Jul 2011 → 22 Jul 2011 Conference number: 3rd https://link.springer.com/book/10.1007%2F978-3-642-32826-8 (SpringerLink - entire proceedings)

Publication series

Name	Communications in Computer and Information Science
Volume	295 CCIS
ISSN (Print)	1865-0929

Conference

Conference	Knowledge Technology Week 2011
Abbreviated title	KTW 2011
Country/Territory	Malaysia
City	Kajang
Period	18/07/11 → 22/07/11
Internet address	https://link.springer.com/book/10.1007%2F978-3-642-32826-8 (SpringerLink - entire proceedings)

Keywords

collocation
document association
frequent word pairs

Access to Document

10.1007/978-3-642-32826-8_39

Cite this

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title = "Finding web document associations using frequent pairs of adjacent words",

abstract = "This paper presents an approach to find associations between Web documents using collocated word pairs. Given two Web documents which are connected via a hyperlink, we attempt to find the contextual association of these two Web pages by using collocations of word pairs from a statistical point of view. Our preliminary experimental results show that our approach is able to extract fairly coherent word pairs to derive associations between hyperlinked Web documents.",

keywords = "collocation, document association, frequent word pairs",

author = "Tee, {Jason Yong Jin} and Soon, {Lay Ki} and Bali Ranaivo-Malan{\c c}on",

year = "2012",

doi = "10.1007/978-3-642-32826-8_39",

language = "English",

isbn = "9783642328251",

series = "Communications in Computer and Information Science",

pages = "360--363",

booktitle = "Knowledge Technology - Third Knowledge Technology Week, KTW 2011, Revised Selected Papers",

url = "https://link.springer.com/book/10.1007%2F978-3-642-32826-8",

}

Tee, JYJ, Soon, LK & Ranaivo-Malançon, B 2012, Finding web document associations using frequent pairs of adjacent words. in Knowledge Technology - Third Knowledge Technology Week, KTW 2011, Revised Selected Papers. Communications in Computer and Information Science, vol. 295 CCIS, pp. 360-363, Knowledge Technology Week 2011, Kajang, Malaysia, 18/07/11. https://doi.org/10.1007/978-3-642-32826-8_39

Finding web document associations using frequent pairs of adjacent words. / Tee, Jason Yong Jin; Soon, Lay Ki; Ranaivo-Malançon, Bali.
Knowledge Technology - Third Knowledge Technology Week, KTW 2011, Revised Selected Papers. 2012. p. 360-363 (Communications in Computer and Information Science; Vol. 295 CCIS).

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

TY - GEN

T1 - Finding web document associations using frequent pairs of adjacent words

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AB - This paper presents an approach to find associations between Web documents using collocated word pairs. Given two Web documents which are connected via a hyperlink, we attempt to find the contextual association of these two Web pages by using collocations of word pairs from a statistical point of view. Our preliminary experimental results show that our approach is able to extract fairly coherent word pairs to derive associations between hyperlinked Web documents.

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T2 - Knowledge Technology Week 2011

Y2 - 18 July 2011 through 22 July 2011

ER -

Finding web document associations using frequent pairs of adjacent words

Abstract

Publication series

Conference

Keywords

Access to Document

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Cite this