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On the selection of the correct number of terms for profile construction: theoretical and empirical analysis
In this paper, we examine the problem of building a user profile from a set of 
documents. This profile will consist of a subset of the most representative terms 
in the documents that best represent user preferences or interests. Inspired 
by the discrete concentration theory we have conducted an axiomatic study 
of seven properties that a selection function should fulfill: the minimum and 
maximum uncertainty principle, invariant to adding zeros, invariant to scale 
transformations, principle ...