Apache: Big Data 2016

In this paper we explore an algorithm to determine the relevance of each item in a finite set of the items in reference to each other, where in order to address an item you have to first go through a convergence or proxy item. If we imagine a media streaming company (convergence item) and all its available genres for playback (items in a finite set), how relevant is each music genre at different moments in time? Or a sports media company and the covered sports, how does the relevance of each sport changes throughout the year as sports seasons begin and end?

The applications of this algorithm are immediate and plentiful in possibilities: When should investments be made during the lifecycle of a sports season? Where to allocate resources in a financial portfolio based of ranks and trends? How to compensate artists given the relevance of the traffic they are generating?