Abstract: Link association analysis systems are presented. Disclosed systems are configured to analyze links created by users and to determine possible reasons underpinning why a user would create such a link. The system derives such reasons by analyzing the context within which the link was created and to which the link points, and then presents the reasons as a data object to users for feedback. The system can be made to be self-refining by collecting survey data regarding its accuracy, so that the more users interact with the system, the more accurate the system is at deriving reasons for link creation.

Abstract: A system and method to accurately modify the function of a user's electronic device in response to the multiple aspects making up a user's evolving state of mind are presented. Persistent intent objects are generated to represent a user's state of mind and the relative importance of a particular state of mind to a user's instant attention. The intent objects can be related to situations or environments and could exist beyond any specific situations or environments. The collective effect of the intent objects can be used to customize the functions of a user device to match the user's state of mind extending beyond inferences drawn from an individual or instant set of circumstances.

Abstract: Link association analysis systems are presented. Disclosed systems are configured to analyze links created by users and to determine possible reasons underpinning why a user would create such a link. The system derives such reasons by analyzing the context within which the link was created and to which the link points, and then presents the reasons as a data object to users for feedback. The system can be made to be self-refining by collecting survey data regarding its accuracy, so that the more users interact with the system, the more accurate the system is at deriving reasons for link creation.

Abstract: Link association analysis systems are presented. Disclosed systems are configured to analyze links created by users and to determine possible reasons underpinning why a user would create such a link. The system derives such reasons by analyzing the context within which the link was created and to which the link points, and then presents the reasons as a data object to users for feedback. The system can be made to be self-refining by collecting survey data regarding its accuracy, so that the more users interact with the system, the more accurate the system is at deriving reasons for link creation.

Abstract: Link association analysis systems are presented. Disclosed systems are configured to analyze links created by users and to determine possible reasons underpinning why a user would create such a link. The system derives such reasons by analyzing the context within which the link was created and to which the link points, and then presents the reasons as a data object to users for feedback. The system can be made to be self-refining by collecting survey data regarding its accuracy, so that the more users interact with the system, the more accurate the system is at deriving reasons for link creation.

Abstract: Link association analysis systems are presented. Disclosed systems are configured to analyze links created by users and to determine possible reasons underpinning why a user would create such a link. The system derives such reasons by analyzing the context within which the link was created and to which the link points, and then presents the reasons as a data object to users for feedback. The system can be made to be self-refining by collecting survey data regarding its accuracy, so that the more users interact with the system, the more accurate the system is at deriving reasons for link creation.

Abstract: A system and method to accurately modify the function of a user's electronic device in response to the multiple aspects making up a user's evolving state of mind are presented. Persistent intent objects are generated to represent a user's state of mind and the relative importance of a particular state of mind to a user's instant attention. The intent objects can be related to situations or environments and could exist beyond any specific situations or environments. The collective effect of the intent objects can be used to customize the functions of a user device to match the user's state of mind extending beyond inferences drawn from an individual or instant set of circumstances.

Abstract: A system and method to accurately modify the function of a user's electronic device in response to the multiple aspects making up a user's evolving state of mind are presented. Persistent intent objects are generated to represent a user's state of mind and the relative importance of a particular state of mind to a user's instant attention. The intent objects can be related to situations or environments and could exist beyond any specific situations or environments. The collective effect of the intent objects can be used to customize the functions of a user device to match the user's state of mind extending beyond inferences drawn from an individual or instant set of circumstances.

Abstract: Link association analysis systems are presented. Disclosed systems are configured to analyze links created by users and to determine possible reasons underpinning why a user would create such a link. The system derives such reasons by analyzing the context within which the link was created and to which the link points, and then presents the reasons as a data object to users for feedback. The system can be made to be self-refining by collecting survey data regarding its accuracy, so that the more users interact with the system, the more accurate the system is at deriving reasons for link creation.

Abstract: Link association analysis systems are presented. Disclosed systems are configured to analyze links created by users and to determine possible reasons underpinning why a user would create such a link. The system derives such reasons by analyzing the context within which the link was created and to which the link points, and then presents the reasons as a data object to users for feedback. The system can be made to be self-refining by collecting survey data regarding its accuracy, so that the more users interact with the system, the more accurate the system is at deriving reasons for link creation.

Abstract: Link association analysis systems are presented. Disclosed systems are configured to analyze links created by users and to determine possible reasons underpinning why a user would create such a link. The system derives such reasons by analyzing the context within which the link was created and to which the link points, and then presents the reasons as a data object to users for feedback. The system can be made to be self-refining by collecting survey data regarding its accuracy, so that the more users interact with the system, the more accurate the system is at deriving reasons for link creation.

Abstract: Link association analysis systems are presented. Disclosed systems are configured to analyze links created by users and to determine possible reasons underpinning why a user would create such a link. The system derives such reasons by analyzing the context within which the link was created and to which the link points, and then presents the reasons as a data object to users for feedback. The system can be made to be self-refining by collecting survey data regarding its accuracy, so that the more users interact with the system, the more accurate the system is at deriving reasons for link creation.

Abstract: Link association analysis systems are presented. Disclosed systems are configured to analyze links created by users and to determine possible reasons underpinning why a user would create such a link. The system derives such reasons by analyzing the context within which the link was created and to which the link points, and then presents the reasons as a data object to users for feedback. The system can be made to be self-refining by collecting survey data regarding its accuracy, so that the more users interact with the system, the more accurate the system is at deriving reasons for link creation.

Abstract: Link association analysis systems are presented. Disclosed systems are configured to analyze links created by users and to determine possible reasons underpinning why a user would create such a link. The system derives such reasons by analyzing the context within which the link was created and to which the link points, and then presents the reasons as a data object to users for feedback. The system can be made to be self-refining by collecting survey data regarding its accuracy, so that the more users interact with the system, the more accurate the system is at deriving reasons for link creation.

Abstract: Link association analysis systems are presented. Disclosed systems are configured to analyze links created by users and to determine possible reasons underpinning why a user would create such a link. The system derives such reasons by analyzing the context within which the link was created and to which the link points, and then presents the reasons as a data object to users for feedback. The system can be made to be self-refining by collecting survey data regarding its accuracy, so that the more users interact with the system, the more accurate the system is at deriving reasons for link creation.

Abstract: A system and method to accurately modify the function of a user's electronic device in response to the multiple aspects making up a user's evolving state of mind are presented. Persistent intent objects are generated to represent a user's state of mind and the relative importance of a particular state of mind to a user's instant attention. The intent objects can be related to situations or environments and could exist beyond any specific situations or environments. The collective effect of the intent objects can be used to customize the functions of a user device to match the user's state of mind extending beyond inferences drawn from an individual or instant set of circumstances.