Abstract: The present disclosure relates generally to the field of migration (e.g., seamless migration) of a network connection under mobility (e.g., host mobility). In various examples, migration (e.g., seamless migration) of a network connection under mobility (e.g., host mobility) may be implemented in the form of methods and/or algorithms.

Abstract: Techniques for making shopping recommendations based on a user's social ties to friends and family are provided. In one aspect, a method for making shopping recommendations is provided. The method includes the steps of: collecting shopping data from users, wherein the users comprise a first user and one or more second users with social ties to the first user; and making recommendations to the first user based on the shopping data while the first user is shopping at a store, wherein the recommendations include preferences of the second users with social ties to the first user. A system for making shopping recommendations is also provided.

Abstract: Embodiments of the present invention may involve a method, system, and computer program product for controlling privacy in a face recognition application. A computer may receive an input including a face recognition query and a digital image of a face. The computer may identify a target user associated with a facial signature in a first database based at least in part on a statistical correlation between a detected facial signature and one or more facial signatures in the first database. The computer may extract a profile of the target user from a second database. The profile of the target user may include one or more privacy preferences. The computer may generate a customized profile of the target user. The customized profile may omit one or more elements of the profile of the target user based on the one or more privacy preferences and/or a current context.

Abstract: A method for aliasing of named data objects (in named data networks) and entities for named data networks (e.g., named graphs for named data networks). In various examples, aliasing of named data objects may be implemented in one or more named data networks in the form of systems, methods and/or algorithms. In other examples, named graphs may be implemented in one or more named data networks in the form of systems, methods and/or algorithms.

Abstract: Various embodiments manage service issues within a wireless communication network. In one embodiment, a one or more call detail records associated with a set of wireless communication devices of a wireless communication network is received. A set of information within each of the one or more call detail records is compared to a baseline statistical model. The baseline statistical model identifies a normal operating state of the wireless communication network. At least one outlier call detail record in the one or more call detail records is identified based on the comparison. The at least one outlier call detail record indicates that at least one wireless communication device associated with the at least one outlier call detail record experienced one or more service issues.

Abstract: Methods and systems for execution of distributed analytics include building a global linked structure that describes correspondences between dataset metadata structures, analytics metadata structures, and location metadata structures and that encodes compatibility between respective datasets, analytics, and locations. A set of analytics and compatible datasets for execution is determined based on the dataset metadata structures, analytics metadata structures, and global linked structure. An optimal execution location is determined based on the determined set of analytics and compatible datasets, the location metadata structures, and the global linked structure. The set of analytics and compatible datasets are deployed to the optimal location for execution.

Abstract: Embodiments of the present invention may involve a method, system, and computer program product for controlling privacy in a face recognition application. A computer may receive an input including a face recognition query and a digital image of a face. The computer may identify a target user associated with a facial signature in a first database based at least in part on a statistical correlation between a detected facial signature and one or more facial signatures in the first database. The computer may extract a profile of the target user from a second database. The profile of the target user may include one or more privacy preferences. The computer may generate a customized profile of the target user. The customized profile may omit one or more elements of the profile of the target user based on the one or more privacy preferences and/or a current context.

Abstract: Embodiments of the present invention may involve a method, system, and computer program product for controlling privacy in a face recognition application. A computer may receive an input including a face recognition query and a digital image of a face. The computer may identify a target user associated with a facial signature in a first database based at least in part on a statistical correlation between a detected facial signature and one or more facial signatures in the first database. The computer may extract a profile of the target user from a second database. The profile of the target user may include one or more privacy preferences. The computer may generate a customized profile of the target user. The customized profile may omit one or more elements of the profile of the target user based on the one or more privacy preferences and/or a current context.

Abstract: Embodiments of the present invention may involve a method, system, and computer program product for controlling privacy in a face recognition application. A computer may receive an input including a face recognition query and a digital image of a face. The computer may identify a target user associated with a facial signature in a first database based at least in part on a statistical correlation between a detected facial signature and one or more facial signatures in the first database. The computer may extract a profile of the target user from a second database. The profile of the target user may include one or more privacy preferences. The computer may generate a customized profile of the target user. The customized profile may omit one or more elements of the profile of the target user based on the one or more privacy preferences and/or a current context.

Abstract: Various embodiments manage service issues within a wireless communication network. In one embodiment, a one or more call detail records associated with a set of wireless communication devices of a wireless communication network is received. A set of information within each of the one or more call detail records is compared to a baseline statistical model. The baseline statistical model identifies a normal operating state of the wireless communication network. At least one outlier call detail record in the one or more call detail records is identified based on the comparison. The at least one outlier call detail record indicates that at least one wireless communication device associated with the at least one outlier call detail record experienced one or more service issues.

Abstract: The present disclosure relates generally to the field of migration (e.g., seamless migration) of a network connection under mobility (e.g., host mobility). In various examples, migration (e.g., seamless migration) of a network connection under mobility (e.g., host mobility) may be implemented in the form of methods and/or algorithms.

Abstract: The present disclosure relates generally to the field of migration (e.g., seamless migration) of a network connection under mobility (e.g., host mobility). In various examples, migration (e.g., seamless migration) of a network connection under mobility (e.g., host mobility) may be implemented in the form of systems and/or algorithms.

Abstract: The present disclosure relates generally to the field of migration (e.g., seamless migration) of a network connection under mobility (e.g., host mobility). In various examples, migration (e.g., seamless migration) of a network connection under mobility (e.g., host mobility) may be implemented in the form of methods and/or algorithms.

Abstract: Systems, methods and computer program products for aliasing of named data objects (in named data networks) and entities for named data networks (e.g., named graphs for named data networks). In various examples, aliasing of named data objects may be implemented in one or more named data networks in the form of systems, methods and/or algorithms. In other examples, named graphs may be implemented in one or more named data networks in the form of systems, methods and/or algorithms.

Abstract: A method for aliasing of named data objects (in named data networks) and entities for named data networks (e.g., named graphs for named data networks). In various examples, aliasing of named data objects may be implemented in one or more named data networks in the form of systems, methods and/or algorithms. In other examples, named graphs may be implemented in one or more named data networks in the form of systems, methods and/or algorithms.

Abstract: Embodiments of the present invention may involve a method, system, and computer program product for controlling privacy in a face recognition application. A computer may receive an input including a face recognition query and a digital image of a face. The computer may identify a target user associated with a facial signature in a first database based at least in part on a statistical correlation between a detected facial signature and one or more facial signatures in the first database. The computer may extract a profile of the target user from a second database. The profile of the target user may include one or more privacy preferences. The computer may generate a customized profile of the target user. The customized profile may omit one or more elements of the profile of the target user based on the one or more privacy preferences and/or a current context.

Abstract: A method and system are provided. The method includes identifying a set of applications compatible with a set of data. The applications and the data are untagged by corresponding metadata. The identifying step includes executing, by an execution platform, at least some of the applications in the set against at least some of the data in the set. The identifying step further includes analyzing, by a log analyzer, execution logs for executions of the at least some of the applications against the at least some of the data. The identifying step also includes indicating, by the log analyzer, a compatibility of the at least some of the applications to the at least some of the data by detecting compatibility relevant errors using the execution logs.

Abstract: A method and system are provided. The method includes identifying a set of applications compatible with a set of data. The applications and the data are untagged by corresponding metadata. The identifying step includes executing, by an execution platform, at least some of the applications in the set against at least some of the data in the set. The identifying step further includes analyzing, by a log analyzer, execution logs for executions of the at least some of the applications against the at least some of the data. The identifying step also includes indicating, by the log analyzer, a compatibility of the at least some of the applications to the at least some of the data by detecting compatibility relevant errors using the execution logs.

Abstract: Systems, methods and computer program products for aliasing of named data objects (in named data networks) and entities for named data networks (e.g., named graphs for named data networks). In various examples, aliasing of named data objects may be implemented in one or more named data networks in the form of systems, methods and/or algorithms. In other examples, named graphs may be implemented in one or more named data networks in the form of systems, methods and/or algorithms.

Abstract: Systems, methods and computer program products for aliasing of named data objects (in named data networks) and entities for named data networks (e.g., named graphs for named data networks). In various examples, aliasing of named data objects may be implemented in one or more named data networks in the form of systems, methods and/or algorithms. In other examples, named graphs may be implemented in one or more named data networks in the form of systems, methods and/or algorithms.