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Smart Shopping Based on the Mobile Commerce Pattern Mining and Prediction

Journal: International Journal of Science and Research (IJSR) (Vol.2, No. 4)

Publication Date:

Authors : ;

Page : 104-108

Keywords : Pattern Mining; Similarity Inference; Behavior Prediction;

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In this Paper We Propose an application for the mining and prediction of mobile users movements and purchase transactions together. Here we provide an application for the customers Android phone by which they can view the offers provided by various shops at the mall they are at. The application provides the user with information about which all shops a particular product is available and which shop provides the best offer. By using this application we can make the Live shopping by the customer without having to go to each shop and enquire. Framework for this application having components for finding the similarity between the Items and Stores, efficient mobile commerce pattern mining and a facility for the behaviour prediction of mobile users. In Addition to that planned to add a credit system for the users as well as the prediction of Items and offers based on their Interests which we can collect at the time of registration for the new customers. As of now the experimental evaluation of the Framework have been done. But in this paper I planned to bring the same for Live shopping based on location based systems.

Last modified: 2021-06-30 20:15:34