Profiled M-advertising Framework for Consumer Advertising
| dc.contributor.author | Gangabada, G.L.P.N. | |
| dc.contributor.author | Premaratne, S. C. | |
| dc.date.accessioned | 2022-04-06T08:14:09Z | |
| dc.date.available | 2022-04-06T08:14:09Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | Mobile advertising and profiled advertising has become major discussion topics recently. With rapid development of mobile technology in the last decade, many e-business organizations are trying to combine the latest mobile technologies with customer profiling in order to increase the reachability of their product information among the target market. This paper presents a potential mechanism to enhance such mobile advertising by improving existing user profile methods. The main goal of this research is to introduce a novel user profiling mechanism that can be used to improve the productivity of a mobile advertising system. The proposed system is capable of providing additional information such as video, audio, etc. about advertisements to the user while giving profile-based and proximity suggestions. | en_US |
| dc.identifier.citation | Gangabada, G.L.P.N., Premaratne, S. C.(2013).Profiled M-advertising Framework for Consumer Advertising, Journal of Computer Science Vol. 1, No. 1 (2013) 1-10 | en_US |
| dc.identifier.doi | https://doi.org/10.31357/jcs.v1i1.1103 | en_US |
| dc.identifier.uri | http://dr.lib.sjp.ac.lk/handle/123456789/11011 | |
| dc.language.iso | en | en_US |
| dc.publisher | Department of Computer Science Faculty of Applied Sciences University of Sri Jayewardenepura | en_US |
| dc.subject | Profiled m-marketing, collaborative filtering, user profiling | en_US |
| dc.title | Profiled M-advertising Framework for Consumer Advertising | en_US |
| dc.type | Article | en_US |