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Mobile Location-Based Recommender: An Advertisement Case Study

Mobile Location-Based Recommender: An Advertisement Case Study
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Author(s): Mahsa Ghafourian (University of Pittsburgh, USA) and Hassan A. Karimi (University of Pittsburgh, USA)
Copyright: 2011
Pages: 13
Source title: Handbook of Research on Mobility and Computing: Evolving Technologies and Ubiquitous Impacts
Source Author(s)/Editor(s): Maria Manuela Cruz-Cunha (Polytechnic Institute of Cavado and Ave, Portugal) and Fernando Moreira (Portucalense University, Portugal)
DOI: 10.4018/978-1-60960-042-6.ch013

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Abstract

Mobile devices, including cell phones, capable of geo-positioning (or localization) are paving the way for new computer assisted systems called mobile location-based recommenders (MLBRs). MLBRs are systems that combine information on user’s location with information about user’s interests and requests to provide recommendations that are based on “location”. MLBR applications are numerous and emerging. One MLBR application is in advertisement where stores announce their coupons and users try to find the coupons of their interests nearby their locations through their cell phones. This chapter discusses the concept and characteristics of MLBRs and presents the architecture and components of a MLBR for advertisement.

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