f(x) = 3x − 2 z = r (cosθ + isinθ) a (f(x + T) = f(x), ∀ x ∈ IR) (f(−x) = f(x), ∀ x ∈ D) −x + 2y + z + t = −1 2x + 2y + z + 4t = 0 [x0 −r, x0 + r] (cosnα + isinnα) = (cosα + isinα)n

Mobile advertising strategies

This project’s protagonist is a mobile data company that offers innovative solutions of mobile advertising and location intelligence. In order to achieve this purpose, it is essential to know precisely the behaviors and habits of users. For this reason we were asked to develop a deep profiling algorithm, able to classify users with respect to their offline behaviors.

  • Description and benefits
Clustering
Accurate and reliable information on the target
Greater adherence of the campaign to the user's interest

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z = −1 + i nα = θ + 2πk u = ρ (cosα + isinα) f(x) = 3x − 2 z = r (cosθ + isinθ) ax + by + cz + d = 0 a (f(x + T) = f(x), ∀ x ∈ IR) (f(−x) = f(x), ∀ x ∈ D) 2x + 2y + z + 4t = 0 [x0 −r, x0 + r] (cosnα + isinnα) = (cosα + isinα)n z = −1 + i nα = θ + 2πk

Recognize the change of habits: the Hidden Markov Models