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What is Mobile Location-Based Recommender (MLBR)

Chapter 13
Handbook of Research on Mobility and Computing: Evolving Technologies and Ubiquitous Impacts
A recommender that provides location-centric recommendation and delivers recommendation to user’s current location.
Published in Chapter:
Mobile Location-Based Recommender: An Advertisement Case Study
Mahsa Ghafourian (University of Pittsburgh, USA) and Hassan A. Karimi (University of Pittsburgh, USA)
Copyright: © 2011 |Pages: 13
DOI: 10.4018/978-1-60960-042-6.ch013
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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