MULTIATTRIBUTE SPECIFICATION OF PREFERENCES ABOUT PEOPLE, PRIORITIES, AND PRIVACY FOR GUIDING MESSAGING AND COMMUNICATIONS
First Claim
1. A notification manager, comprising:
- a multiattribute preference (MAP) tool that influences automated decision-making processes according to one or more user preferences;
a language component that cooperates with the MAP tool and utilizes one or more user inputs to at least one of control, adjust, tune and determine the user preferences;
a learning algorithm component that analyzes one or more attributes of one or more items, wherein the learning algorithm includes at least one classifier that analyzes the one or more attributes and automatically determines at least one of urgency and priority of the item; and
a message browser that automatically identifies values assigned to selected attributes of items based on the at least one of urgency and priority of the item, the values provide indications of the automated learning processes affecting delivery of the one or more items to the user.
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Accused Products
Abstract
The present invention relates to a system and methodology to facilitate multiattribute adjustments and control associated with messages and other communications and informational items that are directed to a user via automated systems. An interface, specification language, and controls are provided for defining a plurality of variously configured groups that may attempt to communicate respective items. Controls include the specification of priorities and preferences as well as the modification of priorities and preferences that have been learned from training sets via machine learning methods. The system provides both a means for assessing parameters used in the control of messaging and communications and for the inspection and modification of parameters that have been learned autonomously.
38 Citations
1 Claim
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1. A notification manager, comprising:
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a multiattribute preference (MAP) tool that influences automated decision-making processes according to one or more user preferences; a language component that cooperates with the MAP tool and utilizes one or more user inputs to at least one of control, adjust, tune and determine the user preferences; a learning algorithm component that analyzes one or more attributes of one or more items, wherein the learning algorithm includes at least one classifier that analyzes the one or more attributes and automatically determines at least one of urgency and priority of the item; and a message browser that automatically identifies values assigned to selected attributes of items based on the at least one of urgency and priority of the item, the values provide indications of the automated learning processes affecting delivery of the one or more items to the user.
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Specification