Incorporating Contextual Information into a Mobile Advertisement Recommender System
The ever growing popularity of smart mobile devices and rapid advent of wireless technology have given rise to a new class of advertising system, i.e., mobile advertisement recommender system. The traditional internet advertising systems have largely ignored the fact that users interact with the system within a particular “context”. In this paper, we implemented a mobile advertisement recommender prototype system called MARS. MARS captures different user’s contextual information to improve recommendation results. The demonstration shows that MARS makes advertisement recommendation more effectively.
Keywordsmobile advertisement recommendation context probabilistic model
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- 3.Roh, J.-H., Jin, S.: Personalized Advertisement Recommendation System based on user profile in the Smart Phone. In: ICACT, pp. 1300–1303 (2012)Google Scholar
- 4.Xu, H., Yang, D., Gao, B., Liu, T.-Y.: Predicting advertiser bidding behaviors in sponsored search by rationality modeling. In: WWW, pp. 242–254 (2013)Google Scholar
- 5.Kim, S., Qin, T., Yu, H., Liu, T.-Y.: An Advertiser-Centric Approach to Understand User Click Behavior in Sponsored Search. In: CIKM, pp. 2121–2124 (2011)Google Scholar