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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | YoungSuk Kim JoonWoo Lee SeongRae Park ByoungCheol Choi |
| Copyright Year | 2009 |
| Description | Author affiliation: Service & Infrastructure Lab., R&D Group, KTF, Seoul, Republic of Korea (YoungSuk Kim; JoonWoo Lee; SeongRae Park; ByoungCheol Choi) |
| Abstract | In this paper, we present mobile advertisement system(MAS) using data push scheduling scheme based on user's content preference model. To schedule advertising operation effectively, we analyzed user's preference of content over time. The result of analysis shows consistent characteristics. And result is applied to build preference model for ad content selection at a given time. Using user preference model, service enabler supports push message scheduling for ad content in systematic manner. Also, to show how to cope with the spamming issue of push based advertisement, push message filtering is introduced to minimize the risk of implicit spamming. As experimental result, we show simulation result of data push scheduling scheme for 7 ad contents, which is resulted from user's preference, and prototype of mobile widget application facilitating proposed advertising service scenario. Widget application supports advertisement choice function with respect to the pre-set configuration and services advertising information matched to user's intention. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 1454495 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781424425884 |
| ISSN | 19345070 |
| DOI | 10.1109/WTS.2009.5068977 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-04-22 |
| Publisher Place | Czech Republic |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Bridges Network servers Job shop scheduling TV Filtering Web and internet services Virtual prototyping IP networks Advertising Research and development |
| Content Type | Text |
| Resource Type | Article |
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