Patent ID: 8930234
Filing Date: 2015-01-06
Classification: G06F,G06Q

Abstract:
1. A computer-implemented method of identifying an influencer from a pool of people based on past interactions with one or more items, comprising: determining a popularity metric for a particular item; determining an earliness of interaction metric for a person in the pool based on an interaction with the particular item by the person; calculating a prescience metric for the person based on the popularity metric and the earliness of interaction metric for the person, wherein the prescience metric is calculated according to: where U Prescience is the prescience metric for the person, P After is a number of interactions with the particular item after the interaction with the particular item by the person, P Total is a total number of interactions with the particular item, S Item is a number of sales of the item, and S Pool is a number of sales of items in a pool of items; and identifying the influencer based on the prescience metric for the person and prescience metrics calculated for other people in the pool.