Time based patterns in mobile-internet surfing

Martin Halvey; Mark T. Keane; Barry Smyth

doi:10.1145/1124772.1124778

Time based patterns in mobile-internet surfing

Martin Halvey, Mark T. Keane, Barry Smyth

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

43 Citations (Scopus)

Abstract

In this paper we investigate environmental factors that can result in users having different preferences and behaviors at different times of the day. An analysis is carried out of a large sample of user data for Wireless Application Protocol (WAP) browsing to determine whether user surfing patterns vary depending on time. We examine traffic on an hourly and daily basis, and show that accesses to particular categories of pages vary relative to time. We also build Markov models, which are temporal; to predict user navigation, and illustrate those predictive models are more accurate and beneficial to mobile Internet users than traditional methods. This analysis provides insight into improving the effectiveness and efficiency of navigation prediction.

Original language	English
Title of host publication	2006 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Editors	Rebecca Grinter, Thomas Rodden, Paul Aoki, Ed Cutrell, Robin Jeffries, Gary Olsen
Place of Publication	New York, USA
Publisher	Association for Computing Machinery (ACM)
Pages	31-34
Number of pages	4
ISBN (Print)	1595933727
DOIs	https://doi.org/10.1145/1124772.1124778
Publication status	Published - 2006

Keywords

WAP
Markov models
mobile internet
user navigation

Documents and Links

10.1145/1124772.1124778

Cite this

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title = "Time based patterns in mobile-internet surfing",

abstract = "In this paper we investigate environmental factors that can result in users having different preferences and behaviors at different times of the day. An analysis is carried out of a large sample of user data for Wireless Application Protocol (WAP) browsing to determine whether user surfing patterns vary depending on time. We examine traffic on an hourly and daily basis, and show that accesses to particular categories of pages vary relative to time. We also build Markov models, which are temporal; to predict user navigation, and illustrate those predictive models are more accurate and beneficial to mobile Internet users than traditional methods. This analysis provides insight into improving the effectiveness and efficiency of navigation prediction.",

keywords = "WAP, Markov models, mobile internet, user navigation",

author = "Martin Halvey and Keane, {Mark T.} and Barry Smyth",

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doi = "10.1145/1124772.1124778",

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pages = "31--34",

editor = "Grinter, {Rebecca } and Thomas Rodden and Paul Aoki and Ed Cutrell and Robin Jeffries and Gary Olsen",

booktitle = "2006 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems",

publisher = "Association for Computing Machinery (ACM)",

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Time based patterns in mobile-internet surfing. / Halvey, Martin; Keane, Mark T.; Smyth, Barry.

2006 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ed. / Rebecca Grinter; Thomas Rodden; Paul Aoki; Ed Cutrell; Robin Jeffries; Gary Olsen. New York, USA : Association for Computing Machinery (ACM), 2006. p. 31-34.

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

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AU - Keane, Mark T.

AU - Smyth, Barry

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N2 - In this paper we investigate environmental factors that can result in users having different preferences and behaviors at different times of the day. An analysis is carried out of a large sample of user data for Wireless Application Protocol (WAP) browsing to determine whether user surfing patterns vary depending on time. We examine traffic on an hourly and daily basis, and show that accesses to particular categories of pages vary relative to time. We also build Markov models, which are temporal; to predict user navigation, and illustrate those predictive models are more accurate and beneficial to mobile Internet users than traditional methods. This analysis provides insight into improving the effectiveness and efficiency of navigation prediction.

AB - In this paper we investigate environmental factors that can result in users having different preferences and behaviors at different times of the day. An analysis is carried out of a large sample of user data for Wireless Application Protocol (WAP) browsing to determine whether user surfing patterns vary depending on time. We examine traffic on an hourly and daily basis, and show that accesses to particular categories of pages vary relative to time. We also build Markov models, which are temporal; to predict user navigation, and illustrate those predictive models are more accurate and beneficial to mobile Internet users than traditional methods. This analysis provides insight into improving the effectiveness and efficiency of navigation prediction.

KW - WAP

KW - Markov models

KW - mobile internet

KW - user navigation

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U2 - 10.1145/1124772.1124778

DO - 10.1145/1124772.1124778

M3 - Conference contribution

SN - 1595933727

SP - 31

EP - 34

BT - 2006 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

A2 - Grinter, Rebecca

A2 - Rodden, Thomas

A2 - Aoki, Paul

A2 - Cutrell, Ed

A2 - Jeffries, Robin

A2 - Olsen, Gary

PB - Association for Computing Machinery (ACM)

CY - New York, USA

ER -

Time based patterns in mobile-internet surfing

Abstract

Keywords

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