"How User Ratings Change with Time: Theoretical Explanation of an Empir" by Julio Urenda, Manuel Hernandez et al.
 

Publication Date

9-2019

Comments

Technical Report: UTEP-CS-19-100

Abstract

In many application areas, it is important to predict the user's reaction to new products. In general, this reaction changes with time. Empirical analysis of this dependence has shown that it can be reasonably accurately described by a power law. In this paper, we provide a theoretical explanation for this empirical formula.

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