PMR: Personalized Mobile Restaurant system

Personalized mobile applications involve deploying the existing technologies to accommodate the differences between individuals. The existing applications have undertaken with the price and the location factors in mind. They show the same results regardless the personal special needs of consumers. The realization of the next generation of personalized systems will be a challenging task. For our research purpose, the personal special needs are defined as: (Religions, Cultures, Allergies, Health Condition, Diet, Preferences and Dislikes) needs that affect many aspects of a consumer life. In general there is no shortage of the restaurant apps available in the App Store, However, many of these apps are based on regular factors such as price and location. They are not a great choice for consumers with personal special needs. This paper proposes a novel “Personalized Mobile Restaurant” PMR system. To meet the strict needs of consumers; a requirement driven design approach was followed. The proposed system was tested successfully and promising results were obtained.

[1]  Stanley B. Zdonik,et al.  Research in Data Broadcast and Dissemination , 1998, AMCP.

[2]  Alan H. Karp,et al.  Mobile In-store Personalized Services , 2009, 2009 IEEE International Conference on Web Services.

[3]  Javier Bajo,et al.  SHOMAS: Intelligent guidance and suggestions in shopping centres , 2009, Appl. Soft Comput..

[4]  Dean F. Sittig Personal health records on the internet: a snapshot of the pioneers at the end of the 20th Century , 2002, Int. J. Medical Informatics.

[5]  Paul P. Maglio,et al.  Intermediaries: New Places for Producing and Manipulating Web Content , 1998, Comput. Networks.

[6]  Peng-Ting Chen,et al.  Personalized mobile advertising: Its key attributes, trends, and social impact , 2012 .

[7]  Wei-Po Lee,et al.  Deploying personalized mobile services in an agent-based environment , 2007, Expert Syst. Appl..

[8]  Shyan-Ming Yuan,et al.  A personal Web page tailoring toolkit for mobile devices , 2009, Comput. Stand. Interfaces.

[9]  Shyan-Ming Yuan,et al.  Mobile Phone Enabled Barcode Recognition for Preferences Monitoring , 2011 .

[10]  Horst-Michael Groß,et al.  PERSES-a vision-based interactive mobile shopping assistant , 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

[11]  Shuk Ying Ho,et al.  Users' adoption of mobile services: Preference and location personalization , 2010, 5th International Conference on Computer Sciences and Convergence Information Technology.

[12]  J. Abdullah,et al.  MyMobiHalal 2.0: Malaysian mobile halal product verification using camera phone barcode scanning and MMS , 2008, 2008 International Conference on Computer and Communication Engineering.

[13]  Von-Wun Soo,et al.  A personalized restaurant recommender agent for mobile e-service , 2004, IEEE International Conference on e-Technology, e-Commerce and e-Service, 2004. EEE '04. 2004.