Quantcast Corporation

New Jersey Institute of Technology

Michael Recce

Paul G Sutter

Konrad Simeon Feldman

Automatic performance triggered campaign adjustment. A hierarchical feature tree is generated. Each child node's feature is more specific than its respective parent node's feature. The discovery system creates a behavioral model comprising features of the feature tree which is used in the operation of an advertising campaign. A degraded model feature is detected at the discovery system by comparing a performance metric of a model feature from two different time windows. The discovery system matches a node of the feature tree with the degraded feature and selects a prospective model feature from an ancestor node of the matching feature's node. An estimated performance metric for the prospective model feature is determined and the results are used to decide if the prospective model feature should be incorporated into an updated model or not. The model can be updated with a new model feature selected from one or more prospective model features.

Automatic performance-triggered campaign adjustment

A hierarchical feature tree is generated. Each child node's feature is more specific than its respective parent node's feature. A behavioral model comprising features of the feature tree is created and used in the operation of an advertising campaign. A degraded model feature is detected at the discovery system by comparing a performance metric of a model feature from two different time windows. The discovery system matches a node of the feature tree with the degraded feature and selects a prospective model feature from a family node. An estimated performance metric for the prospective model feature is determined and the results are used to decide if the model should be updated to include the prospective model feature. The campaign can be operated with the automatically updated model.

Automatic performance-triggered feature discovery

Automatic performance triggered model adjustment. A hierarchical feature tree is generated. Each child node's feature is more specific than its respective parent node's feature. A behavioral model comprising features of the feature tree is created and used in the operation of an advertising campaign. A degraded model feature is detected at the discovery system by comparing a performance metric of a model feature from two different time windows. The discovery system matches a node of the feature tree with the degraded feature and selects a prospective model feature from a same-level node or from a lower level node than the matching feature's node. An estimated performance metric for the prospective model feature is determined and the results are used to decide if the model should be updated to include the prospective model feature. The campaign can be operated with the automatically updated model.

An audience selection system for the selection of an entity, based on an entity's consumption history without requiring the storage of a content descriptor for identifying content previously accessed by the entity. By directly and/or indirectly observing the usage of words used to locate content through a search engine over time for a population, a list of depersonalized keywords can be discovered, creating the ability to characterize content based on depersonalized keywords. A protected consumption history can be recorded for an entity using depersonalized keywords instead of recording a content descriptor for identifying the content. Depersonalized keywords do not uniquely identify content. Associating depersonalized keywords with an entity does not mean that the entity has used those depersonalized keywords; it only means that the entity has accessed content which has been accessed in the past by other entities in a population using the depersonalized keywords.

Consumption history privacy

An authorized pilot detection system and method for controlling a variety of potentially dangerous instrumentalities such as aircraft, land vehicles, amphibious vehicles and other hand-controllable equipment, is disclosed. The system with respect to aircraft includes an interlock for enabling/disabling one of a control wheel and a joystick for controlling movement of an aircraft; a biometric grip detector arranged on said one of a control and joy stick, said biometric grip detector comprising a plurality of pressure sensors for sensing a handgrip of a user on said one of a control wheel and joystick; a comparator for comparing a pressure signature profile compiled from an output from the plurality of pressure sensors with at least one pressure signature profile including: (a) hand position of the user's handgrip on said one of a control wheel and joystick as indicated by a change in pressure on at least one of the plurality of pressure sensors; (b) pressure as a function of position on the control wheel and joystick; and (c) pressure as a function of time. A control unit may disable the interlock to permit at least partial manual control of movement of the aircraft by the control wheel/joy stick when the comparator indicates that the signature profile matches at least one pressure signature profile in storage. Authorized access to other hand operated equipment such as power tools and heavy equipment are prevented according to the present invention.

Authorized personnel biometric detection system preventing unauthorized use of aircraft and other potentially dangerous instruments

An unauthorized user prevention device and method prevents unauthorized users from operating a devices such as firearms or other types of weapons, and can also prevent access as an anti-theft device for vehicles and doors to vehicles or buildings. A users initially grips a handle containing pressure sensors, and a pressure signature profile is stored that is based on hand position of the user's handgrip on the particular device as indicated by a change in pressure, pressure as a function of position on the particular device; and pressure as a function of time. A comparator compiles the pressure signature profile and compares it with profiles is storage to determined whether a match exists. Upon finding a match, a control unit releases an interlocking unit to enable the user to operate the device because he/she is authorized.

Unauthorized user prevention device and method

An unauthorized user prevention device and method prevents unauthorized users from operating a devices such as firearms or other types of weapons, and can also prevent access as an anti-theft device for vehicles and doors to buildings. A users initially grips a handle containing pressure sensors, and a pressure signature profile is stored that is based on hand position of the user's handgrip on the particular device as indicated by a change in pressure, pressure as a function of position on the particular device; and pressure as a function of time. A comparator compiles the pressure signature profile and compares it with profiles is storage to determined whether a match exists. Upon finding a match, a control unit releases an interlocking unit to enable the user to operate the device because he/she is authorized.

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Short Hills, NJ, United States of America

Michael Recce