Building A Mobile Personalized Marketing System Using Multidimensional Data

1876 Words Mar 1st, 2015 8 Pages
BUILDING A MOBILE PERSONALIZED MARKETING SYSTEM USING MULTIDIMENSIONAL DATA

Dr.G.Kavitha
Department of Information Technology
B.S Abdur Rahman University
Chennai, India
Email: xxxxxx@gmail.com
J.Jeya Barathi
Department of Information Technology
B.S Abdur Rahman University
Chennai, India
Email:jbarathi5@gmail.com

Abstract- Mobile marketing can be made more personalized through Mobile Personalized Marketing (MPM). Customers now expect content to be more personalized and relevant, and marketing technology has risen to meet the challenges. Due to the ubiquity, interactivity and localization of mobile devices, the customer contextual information ((i.e) the environment where a customer is located) identifies the needs of customer and offer product & services by understanding the customer’s preferences. Existing work focused on contexts of mobile users and their activities for better predicting customer preferences. In existing, only limited numbers of dimensions are considered to predict the user preferences. It cannot precisely predict about people’s daily activities, which could be extremely difficult due to the inherent randomness of human behavior. The proposed work focuses on the number of dimension combination to be increased for each event with respect to context and action rule of a user. User clustering is constructed and similarities between the users are also evaluated for prediction of mobile behaviors with considerations of user relation. Personalized Marketing…
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