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.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.uri	http://dr.lib.sjp.ac.lk/handle/123456789/11011
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.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
dc.identifier.doi	https://doi.org/10.31357/jcs.v1i1.1103	en_US