Building A Mobile Personalized Marketing System Using...
BUILDING A MOBILE PERSONALIZED MARKETING SYSTEM USING
MULTIDIMENSIONAL DATA
Dr.G.Kavitha
Department of Information Technology
B.S Abdur Rahman University
Chennai, India
Email:
[email protected]
J.Jeya Barathi
Department of Information Technology
B.S Abdur Rahman University
Chennai, India
Email:
[email protected]
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