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doi:10.1093/comjnl/bxm005 Context-aware Timely Information Delivery in Mobile Environments
| Citations: | 2 - 0 self |
BibTeX
@MISC{Thawani_doi:10.1093/comjnl/bxm005context-aware,
author = {Amit Thawani and Srividya Gopalan and V. Sridhar and Krithi Ramamritham},
title = {doi:10.1093/comjnl/bxm005 Context-aware Timely Information Delivery in Mobile Environments},
year = {}
}
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Abstract
In mobile environments, transmitting information relevant to an event along with notification of the event has been proven to be an effective means of providing revenue enhancing services. For example, a relevant advertisement can be displayed just before event notification; for instance, a product promotion by Beckham can be shown just before the notification of a goal scored by him. Challenges in achieving real-time search and delivery of information relevant to events as they occur include: (i) predicting the next event so that the appropriate information can be kept ready; (ii) finding information relevant to the context and content of the event; (iii) searching for and bringing the potentially needed information closer to the user location; and (iv) disseminating and displaying relevant information just before the actual event is notified to the user. In this paper, we propose a real-time information delivery system based on an event’s context and content. The key features of our system are: (i) representing domains with event-based scenarios using statecharts; (ii) using a novel combination of history information and state transitions to predict events; and (iii) real-time delivery of information relevant to an event by prefetching and caching information based on the events predicted to occur in the near future. To illustrate our approach, we focus on the delivery of advertisements relevant to notified events as a specific case
Keyphrases
information relevant mobile environment context-aware timely information delivery near future notified event product promotion real-time search user location actual event relevant information key feature relevant advertisement state transition effective mean real-time information delivery system novel combination history information information closer specific case event notification event context next event event-based scenario real-time delivery appropriate information
