Location and Behavioural based Advertising using Data Mining Techniques

Users today, are flooded with irrelevant and extraneous advertisements and offers, which might result in dissatisfaction of the customer. If the process of recommending advertisements to users, which they find relevant, could be ameliorated, it would open plethora of new opportunities for businesses and increase customer retention.[2] To provide relevant advertisements to consumers, one has to consider the location of the consumer as well. So, to propose a model combining the idea of social and spatial data to provide targeted advertisements is very important. Social data is acquired through user's profile and location of the user is found with the help of GPS. There does not exist any model that combines the idea of social and spatial data to provide effective results. Some systems do not consider user preferences; others do not take into account the location. In this paper, we discuss the idea of combining both to recommend best offers to customers.