Xerox Corporation

James E Baxter

Charles Dickinson

A system for predicting one or more stock-related device settings, includes memory which stores a crowdsourcing component. The crowdsourcing component acquires reports from multiple printers in a fleet of printers. The reports each include performance data and printer attributes used when printing one of a plurality of stocks, the printer attributes including at least one device setting. A learning component learns relationships between printer settings and performance, e.g., in the form of a prediction model, based on the acquired reports. A prediction component uses the learned relationships to predict device settings for the stock for at least one of the printers in the fleet of printers and a processor, in communication with the memory, which implements the components.

Automated system and method for prediction of device settings for stocks

A system for predicting performance for a stock includes memory which stores a crowdsourcing component, which acquires reports from multiple printers in a fleet of printers. The reports include performance data and printer attributes used when printing one of a plurality of stocks. A learning component learns a prediction model, based on the acquired reports. A prediction component uses the learned prediction model to predict at least one of: whether a selected stock will perform adequately on one of the printers in the fleet of printers, an alternative to the selected stock which is predicted to perform better than the selected stock, on one of the printers in the fleet of printers, and a stock which will perform adequately on one of the printers in the fleet of printers. A processor, in communication with the memory, implements the components. An output device outputs the prediction.

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Canandaigua, NY, United States of America

James E Baxter