Abstract
| 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 | ACM |
| Pages | 31-34 |
| Number of pages | 4 |
| ISBN (Print) | 1595933727 |
| DOIs | |
| Publication status | Published - 2006 |
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Keywords
- WAP
- Markov models
- mobile internet
- user navigation
Cite this
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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 : ACM, 2006. p. 31-34.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Time based patterns in mobile-internet surfing
AU - Halvey, Martin
AU - Keane, Mark T.
AU - Smyth, Barry
PY - 2006
Y1 - 2006
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
UR - http://www.chi2006.org/
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 - ACM
CY - New York, USA
ER -