Discovering interesting navigations on a web site using SAM
In this article, a new algorithm called Sequence Alignment Method extended with an Interestingness Measure (SAM(I)) is illustrated for mining navigation patterns on a web site. Through log file analysis, SAMI distinguishes interesting patterns (i.e. unexpected, surprising patterns contradicting with...
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ftunivhasselt:oai:documentserver.uhasselt.be:1942/2816 2023-05-15T18:11:16+02:00 Discovering interesting navigations on a web site using SAM HAY, Birgit WETS, Geert VANHOOF, Koen 2005 http://hdl.handle.net/1942/2816 https://doi.org/10.1007/11577935 en eng SPRINGER-VERLAG BERLIN LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 3169 INTELLIGENT TECHNIQUES FOR WEB PERSONALIZATION. p. 187-200 0302-9743 http://hdl.handle.net/1942/2816 200 187 doi:10.1007/11577935 000233848300010 info:eu-repo/semantics/closedAccess info:eu-repo/semantics/article 2005 ftunivhasselt https://doi.org/10.1007/11577935 2022-08-11T12:24:27Z In this article, a new algorithm called Sequence Alignment Method extended with an Interestingness Measure (SAM(I)) is illustrated for mining navigation patterns on a web site. Through log file analysis, SAMI distinguishes interesting patterns (i.e. unexpected, surprising patterns contradicting with the structure of the web site or direct hyperlinks between web pages) from uninteresting patterns (i.e. expected, known, obvious patterns resulting from the structure of the web site or direct hyperlinks between web pages) and provides information about the order of visited web pages. The algorithm is validated using real data sets of the Music Machines web site http://machines.hyperreal.org, home of musical electronics on the web. Empirical results show that SAMI identifies profiles of visiting behavior, which may be used for web personalization techniques and for optimizing the layout of the web site through structuring of page-links. Article in Journal/Newspaper sami Document Server@UHasselt (Hasselt University) |
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Open Polar |
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Document Server@UHasselt (Hasselt University) |
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ftunivhasselt |
language |
English |
description |
In this article, a new algorithm called Sequence Alignment Method extended with an Interestingness Measure (SAM(I)) is illustrated for mining navigation patterns on a web site. Through log file analysis, SAMI distinguishes interesting patterns (i.e. unexpected, surprising patterns contradicting with the structure of the web site or direct hyperlinks between web pages) from uninteresting patterns (i.e. expected, known, obvious patterns resulting from the structure of the web site or direct hyperlinks between web pages) and provides information about the order of visited web pages. The algorithm is validated using real data sets of the Music Machines web site http://machines.hyperreal.org, home of musical electronics on the web. Empirical results show that SAMI identifies profiles of visiting behavior, which may be used for web personalization techniques and for optimizing the layout of the web site through structuring of page-links. |
format |
Article in Journal/Newspaper |
author |
HAY, Birgit WETS, Geert VANHOOF, Koen |
spellingShingle |
HAY, Birgit WETS, Geert VANHOOF, Koen Discovering interesting navigations on a web site using SAM |
author_facet |
HAY, Birgit WETS, Geert VANHOOF, Koen |
author_sort |
HAY, Birgit |
title |
Discovering interesting navigations on a web site using SAM |
title_short |
Discovering interesting navigations on a web site using SAM |
title_full |
Discovering interesting navigations on a web site using SAM |
title_fullStr |
Discovering interesting navigations on a web site using SAM |
title_full_unstemmed |
Discovering interesting navigations on a web site using SAM |
title_sort |
discovering interesting navigations on a web site using sam |
publisher |
SPRINGER-VERLAG BERLIN |
publishDate |
2005 |
url |
http://hdl.handle.net/1942/2816 https://doi.org/10.1007/11577935 |
genre |
sami |
genre_facet |
sami |
op_relation |
LECTURE NOTES IN ARTIFICIAL INTELLIGENCE 3169 INTELLIGENT TECHNIQUES FOR WEB PERSONALIZATION. p. 187-200 0302-9743 http://hdl.handle.net/1942/2816 200 187 doi:10.1007/11577935 000233848300010 |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1007/11577935 |
_version_ |
1766183959079682048 |