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|Title:||Pmr: Personalized mobile restaurant system|
|Citation:||1. Eman Yasser Daraghmi, Shyan Ming Yuan, "In-Domain Neighborhood Approach to Heterogeneous Dynamic Load Balancing in Real World Network", Parallel and Distributed Computing Applications and Technologies (PDCAT) 2013 International Conference on, pp. 63-70, 2013.|
|Abstract:||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.|
|Appears in Collections:||Applied science faculty|
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