When Mobile Commerce Embraces User Contexts
Cenzhe Zhu, T.T. Tay · 2013
Mobile commerce has emerged as the ubiquity of smart phones and ultra fast mobile data network. While much of the work done in the field of mobile commerce has focused on the customer behavior, business model, and wireless infrastructures, this paper proposes a context-aware solution to mobile commerce. Context-awareness can improve customer’s shopping experience, and thus is crucial in advocating mobile commerce. In this paper, an entertainment recommendation system is described. Special treatment of context information storage and its usage in recommendation systems are analyzed. The context-aware collaborative filtering algorithm (CCF) proposed in the paper is tested to produce better performance as compared to a traditional context-enabled CF method. A prototype of the system is built on the domain of music recommendation and it’s well received by selected users.