Patent ID: 9171000
Filing Date: 2015-10-27
Classification: G06F,G06N,G06Q,H04N

Abstract:
1. A method implemented on at least one machine, each of which has at least one processor, storage, and a communication platform connected to a network for identifying a target metric, comprising the steps of: measuring a plurality of first type of metrics, that are short-term behavior metrics, computed based on a first period, associated with a first length of time, with respect to each of a plurality of users; measuring at least one second type of metric, that are long-term engagement metrics, computed based on a second period, associated with a second length of time, with respect to each of the plurality of users, wherein the second length of time is larger than the first length of time; computing correlations between each of the plurality of first type of metrics and each of the at least one second type of metric with respect to the plurality of users; and selecting one of the plurality of first type of metrics as a target metric based on the correlations, wherein the target metric has a largest correlation with one or more of the at least one second type of metric, and the target metric is used for optimizing long-term engagement between users and an application.