Impedance coupling in content-targeted advertising
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Finding advertising keywords on web pages
Proceedings of the 15th international conference on World Wide Web
Dynamics of bid optimization in online advertisement auctions
Proceedings of the 16th international conference on World Wide Web
A semantic approach to contextual advertising
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
AdWords and generalized online matching
Journal of the ACM (JACM)
Automatic content targeting on mobile phones
EDBT '08 Proceedings of the 11th international conference on Extending database technology: Advances in database technology
Proceedings of the 17th international conference on World Wide Web
To swing or not to swing: learning when (not) to advertise
Proceedings of the 17th ACM conference on Information and knowledge management
TagScore: Approximate Similarity Using Tag Synopses
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Bid optimization for broad match ad auctions
Proceedings of the 18th international conference on World wide web
A search-based method for forecasting ad impression in contextual advertising
Proceedings of the 18th international conference on World wide web
Increasing broadband subscriptions for telecom carriers through mobile advertising
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
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We propose a framework for mobile advertising covering Value-Added Services where an ad-database is maintained on the device and both selection and display are dictated by the device. Advantages over existing mobile marketing are that ads are more timely, viable on a variety of use cases, can be both location-sensitive and personalized with minimal privacy concerns, and provide an obvious means for subsidizing users' service costs. We construct a suitable selection algorithm and evaluate its execution, accuracy and scalability. We show that ad-serving can be done under the processing constraints imposed by mobiles, which may lead to improvements in mobile marketing effectiveness.