COMPOSITE PROPENSITY PROFILE DETECTOR

摘要

Detecting propensity profile for a person may comprise receiving artifacts associated with the person; detecting profile characteristics for the person based on the artifacts; receiving a plurality of predefined profiles comprising a plurality of characteristics and relationships between the characteristics over time, each of the plurality of predefined profiles specifying an indication of propensity; matching the profile characteristics for the person with one or more of the plurality of predefined profiles; and outputting one or more propensity indicators based on the matching, the propensity indicators comprising at least an expressed strength of a given propensity in the person at a given time.

主权项

1. A method for detecting propensity profile of a person, comprising:
receiving artifacts associated with the person; detecting, by one or more computer processors, profile characteristics for the person based on the artifacts; receiving a plurality of predefined profiles comprising a plurality of characteristics and relationships between the characteristics over time, each of the plurality of predefined profiles specifying an indication of propensity; matching, by one or more of the computer processor, executing a machine learning algorithm, the profile characteristics for the person with one or more of the plurality of predefined profiles; outputting one or more propensity indicators based on the matching, the propensity indicators comprising at least an expressed strength of a given propensity in the person at a given time; and adding one or more latent characteristics to the profile characteristics determined based on performing a what-if analysis, for detecting whether combining the one or more latent characteristics with the profile characteristics at the given time would trigger a propensity indication which would not be triggered by the profile characteristics.