Personalizing Mobile Commerce Website Using Google Analytics


Today number of ecommerce users who make day to day transactions are increasing. the largest m-commerce sites offer millions of products for sale. Choosing among so many options is challenging for consumers. This rapid expansion has resulted in new challenges to both companies as well as customers. Customers are overloaded with multiple choices for a specific product, which results in a confused and lost state. Personalized recommendation is the key technology to solve some of the challenges that face and affect the performance of Ecommerce system. In this paper, a personalized recommender system based on Google Analytics data is proposed for personalizing the m-commerce website. to present the results, a comparison is used to show the recommended products status before and after applying the proposed work