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...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2014
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| Online Access: | http://eprints.nottingham.ac.uk/28257/ http://eprints.nottingham.ac.uk/28257/ http://eprints.nottingham.ac.uk/28257/1/ICD_4th_ready.pdf |