Paolo Gissi

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Basic content personalization consists in matching up the attributes of a user profile, in which preferences and interests are stored, against the attributes of a content object. This paper describes a content-based recommender system, called FIRSt, that integrates user generated content (UGC) with semantic analysis of content. The main contribution of(More)
We extend the Implicit Computational Complexity program, promoted by Leivant and by other scholars, to all complexity classes DTIMESPACEF(f(n), g(n)), between DTIMEF(n) and DSPACEF(nn c ). Let clps(α, n) denote the result of replacing ω by n in Cantor normal form for α < ωω ω . A hierarchy T Sαβ is defined by means of a very restricted form of substitution,(More)
MAD is a system that helps an expert data analyst in a specific application domain (like epidemiology or image analysis) to build reasoning models aimed at fulfilling specific tasks. These models may be subsequently used to guide doctors in the analysis of a set of data referring to a specific ground domain. Expert knowledge is represented at various(More)
An imperative programming language is defined by closure of a free word-algebra of de/con-structors under two new operators (simultaneous safe recurrence and constructive diagonalization). By assigning ordinals to its programs a transfinite hierarchy of imperative languages is introduced which singles-out the feasible classes DTIMEF(n) and the(More)
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