A Context-Aware Framework for an Intelligent Mall based on Recommender System

IntelliSense technology used in various fields are constantly expanding from the depth and breadth. Currently, most of the academic research on intelligent sensing systems are in specific fields such as health care, environmental monitoring, smart home. And less in-depth and practical research for smart shopping environment. In this paper, we design a recommendation system based on intelligent business district. First we design the architecture of the system which is efficient and scalable. Then raise the concept of behavior context model to describe all the situation in the intelligent mall.