Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: There is provided a method that includes (a) determining a first risk score that characterizes a first party, based on a presented characteristic of the first party, (b) associating the first party with a second party, based on the first risk score, (c) determining a second risk score that characterizes the first party, based on an activity that involves the second party, and (d) determining a resultant risk score that characterizes the first party, based on the first and second risk scores. There is also provided a system that performs the method, and a storage media having a program encoded thereon that is executable in a processor to perform the method.

Abstract: There is provided a method and a system for determining a level of risk associated with doing business with a party. The method includes (a) determining a first risk score that characterizes the party, based on a presented characteristic of the party, (b) determining a second risk score that characterizes the party, based on an activity that involves the party; and (c) determining a resultant risk score that characterizes the party, based on the first and second risk scores. There is also provided a system that performs the method, and a storage medium having a program encoded thereon that is executable in a processor to perform the method.

Abstract: There is provided a method that includes (a) determining a first risk score that characterizes a party, based on an activity that involves the party, and (b) determining a second risk score that characterizes the party, based on a presented characteristic of the party, if the first risk score exceeds a threshold. There is also provided a system that performs the method, and a storage medium having a program encoded thereon that is executable in a processor to perform the method.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method of identifying and combating rogue or robot activity at a web-site, comprising the steps of: monitoring accesses made to the web-site in order to facilitate the detection of robots or rogue accesses; detecting any such accesses; and providing obstacles to such access. This invention provides a method and system of ensuring the authenticity of users of a web-site or resource. It exhibits the advantage of ensuring a real return for advertisers, and combating fraud.

Abstract: 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.

Abstract: 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.

Abstract: 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.