4. The system of claim 1 , wherein the generated values associated with the driver attributes of the selected unique item describe at least one of the following: an estimated price contribution of a driver attribute to an overall price of the selected unique item, a perceived value of a driver attribute, a level of desirability of a driver attribute.
1. A system for monitoring electronic interactions with unique items and identifying and analyzing significant attributes of the unique items, the system comprising: one or more computer readable storage devices configured to store a plurality of computer executable instructions; and one or more hardware computer processors in communication with the one or more computer readable storage devices and configured to execute the plurality of computer executable instructions in order to cause the system to: generate user activity data by at least electronically communicating, over a computer network, with a plurality of user devices to receive monitoring data related to user interactions with unique items displayed by user interfaces of the plurality of user devices, wherein the monitoring data comprises position data related to a position of a unique item displayed by a user interface at a time of the user interaction; generate one or more driver models configured to enable identification of which of a plurality of attributes of a selected unique item are driver attributes and to enable determination of values associated with the driver attributes, the plurality of attributes comprising at least a condition attribute and a feature attribute, wherein generating the one or more driver models comprises: using the position data to reduce any position bias present in the monitoring data; and using one or more of the following methods: linear regression, non-linear regression, model trees, nearest neighbor analysis; receive selected item data, the selected item data being related to the plurality of attributes of the selected unique item; and apply one or more of the generated driver models to the selected item data to generate values associated with driver attributes of the selected unique item for use in generating recommendations of alternative unique items.