Integrating Context Aware Analysis for M-Commerce Application Prototype
نویسنده
چکیده
Nowadays computing becoming significantly mobile and pervasive, these important changes intend that applications and services must be aware and adapt to progressive environments. Especially, mobile commerce (m-commerce) is an up-and-coming research area because of its relative novelty, extreme growth, and high potential in business applications. Unfortunately, there are several mobile service applications that are lack of any appropriate recommender systems providing context-aware recommendations. Today, developing and building mobile based context-aware recommender system is a complex and time-consuming task due to a number of processes to be done such as analysis of appropriate context regarding application/ service and its implementation, and defining its usage level. This thesis will introduce into context aware analysis in order to show you the opportunities with a prototype of context aware recommender system for existing service.
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تاریخ انتشار 2015