Social Engine for Pattern Mining and Prediction of Mobile Commerce Users

Due to research on social network, mobile commerce has received lot of interests. Mining and prediction of users mobile commerce behaviors such as their movements and purchase transactions. In this paper, we propose a novel framework, called Social Engine, for mining and prediction of mobile users movements and purchase transactions under mobile commerce using social networks. The social engine framework consists of major components: Social Engine mainly consists of Location Extractor used to track user movements, events, shops. Social Data Extractor used to extract data from social, Preference Extractor, Consumer Sentiments used to extract customer feedbacks about items, location and Recommender system used to recommend product, travel location, promote offers, discount. It facilitates mining and prediction of mobile users commerce behaviors in order to recommend stores and items to a user via social network.