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Internet is a huge source of knowledge where people search entertainment and information for several reasons while leaving an invisible blueprint of their preferences, derived from their behavior while navigating and visiting several websites in a specific sequence of domains. This paper proposes a scalable algorithm for discovering the most probable contiguous sequences of domains visited by people from a given socio-demographic profile, of major utility to design marketing campaigns where the advertisement is given in several successive banners. The proposal helps to identify a sequence of websites to distribute these banners. The user patterns of visits are inferred on the basis of a user-centric database containing user's behavior. A combination of data mining methodologies provides evidence of differentiated navigation habits for specific household characteristics and provides decision support tools to assist the marketing designers.
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