Abstract: Some implementations disclosed herein enable matching identifiers across multiple sources. This may involve adding a unique attribute (e.g., anonymous unique homomorphic identifiers) and/or using randomization to enable comparing data from multiple sources, while also maintaining data privacy. In one example, matches across multiple sources are identified, for example, identifying that there are 100 user identifiers that are in private data sets of three different sources. Such matching may be used to enable private, multi-touch attribution. In another example, techniques are used to determine that data maintained by one source is not also within other sources (e.g., identifying that there are 200 user identifiers that are in data from a first source but not in data from a second source and not in data from a third source. Such determinations may be used to generate control group data that does not match data from other sources.

Abstract: Some implementations disclosed herein enable matching identifiers across multiple sources. This may involve adding a unique attribute (e.g., anonymous unique homomorphic identifiers) and/or using randomization to enable comparing data from multiple sources, while also maintaining data privacy. In one example, matches across multiple sources are identified, for example, identifying that there are 100 user identifiers that are in private data sets of three different sources. Such matching may be used to enable private, multi-touch attribution. In another example, techniques are used to determine that data maintained by one source is not also within other sources (e.g., identifying that there are 200 user identifiers that are in data from a first source but not in data from a second source and not in data from a third source. Such determinations may be used to generate control group data that does not match data from other sources.

Abstract: Location graph-based derivation of user attributes. Location data associated with a user, such as a current and/or past location at which the user has been, is received. A user attribute data associated with the location data is determined and used to update a user profile associated with the user.

Abstract: Location graph-based derivation of user attributes. Location data associated with a user, such as a current and/or past location at which the user has been, is received. A user attribute data associated with the location data is determined and used to update a user profile associated with the user.

Abstract: Location graph-based derivation of user attributes is disclosed. In various embodiments, location data associated with a user, such as a current and/or past location at which the user has been, is received. A user attribute data associated with the location data is determined and used to update a user profile associated with the user.

Abstract: Location graph-based derivation of user attributes is disclosed. In various embodiments, location data associated with a user, such as a current and/or past location at which the user has been, is received. A user attribute data associated with the location data is determined and used to update a user profile associated with the user.

Abstract: Location graph-based derivation of user attributes is disclosed. In various embodiments, location data associated with a user, such as a current and/or past location at which the user has been, is received. A user attribute data associated with the location data is determined and used to update a user profile associated with the user.

Abstract: A method and apparatus for the configuration of a wireless network adapter is disclosed. A wireless network adapter is provided with software that enables the adapter to recognize and connect with one or more networks. Software profiles are loaded onto or created on the adapter. The software profiles each correspond to a unique network.

Abstract: A method and apparatus for the configuration of a wireless network adapter is disclosed. A wireless network adapter is provided with software that enables the adapter to recognize and connect with one or more networks. Software profiles are loaded onto or created on the adapter. The software profiles each correspond to a unique network.

Abstract: A computer implemented apparatus captures data from a user into a form specified in accordance with a markup language such as hypertext markup language. The user selects a data type such as text, handwriting, voice, image and video data type to be captured. Once the user indicates the type of data to be captured, the apparatus enables a transducer associated with the selected data type to capture data. The apparatus also formats data from the transducer into a predetermined format, stores and displays the formatted data in the markup language form.

Abstract: A method and apparatus for the configuration of a wireless network adapter is disclosed. A wireless network adapter is provided with software that enables the adapter to recognize and connect with one or more networks. Software profiles are loaded onto or created on the adapter. The software profiles each correspond to a unique network.

Abstract: A computer implemented apparatus captures data from a user into a form specified in accordance with a markup language such as hypertext markup language. The user selects a data type such as text, handwriting, voice, image and video data type to be captured. Once the user indicates the type of data to be captured, the apparatus enables a transducer associated with the selected data type to capture data. The apparatus also formats data from the transducer into a predetermined format, stores and displays the formatted data in the markup language form.