Personalising mobile advertising based on users’ installed apps

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Personalising mobile advertising based on users’ installed apps

Mobile advertising is a billion pound industry that is rapidly expanding. The success of an advert is measured based on how users interact with it. In this paper we investigate whether the application of unsupervised learning and association rule mining could be used to enable personalised targeting...

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Bibliographic Details
Main Authors:	Reps, Jenna, Aickelin, Uwe, Garibaldi, Jonathan M., Damski, Chris
Format:	Conference or Workshop Item
Published:	2014
Online Access:	https://eprints.nottingham.ac.uk/28257/

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