Abstract
Internet is steaming with a great variety of information including instant news, music, advertisement, etc. However, users will be overwhelmed by too much information presented on webpage at once. In this paper, we propose a context-aware mobile web browsing system to reduce user distraction and ultimately enhance user experience. First, we capture user context such as time and location information through sensors embedded in mobile phones. Second, we recommend relevant information and adapt the web page according to user profile and current context. We implement a prototype of context-aware web information access by leveraging HTML5.
Original language | English |
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Pages | 945-950 |
Number of pages | 6 |
DOIs | |
State | Published - 2012 |
Event | 9th IEEE International Conference on Ubiquitous Intelligence and Computing, UIC 2012 and 9th IEEE International Conference on Autonomic and Trusted Computing, ATC 2012 - Fukuoka, Japan Duration: 4 Sep 2012 → 7 Sep 2012 |
Conference
Conference | 9th IEEE International Conference on Ubiquitous Intelligence and Computing, UIC 2012 and 9th IEEE International Conference on Autonomic and Trusted Computing, ATC 2012 |
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Country/Territory | Japan |
City | Fukuoka |
Period | 4/09/12 → 7/09/12 |
Keywords
- Content recommendation
- Context-aware
- HTML5
- Mobile web browsing