Abstract: A computer system may access an attributization rule and convert, based on the attributization rule, profile data into attributes for a robust recipient profile. The system may identify, based on tag logic, tags that are associated with the attributes. The tag logic may include instructions to compare the attributes with predetermined attributes associated with the tags. The system may map the identified tags to the recipient identifier. The system may perform communication with a mobile device based on the robust recipient profile and a real-time location of the mobile device. To perform the communication, the system may monitor the plurality of data channels for data comprising real-time location information for the mobile device. The system may determine the mobile device is proximate to a physical object that is associated with the tag and the system may transmit offer information to the mobile device.

Abstract: A computer system may access an attributization rule and convert, based on the attributization rule, profile data into attributes for a robust recipient profile. The system may identify, based on tag logic, tags that are associated with the attributes. The tag logic may include instructions to compare the attributes with predetermined attributes associated with the tags. The system may map the identified tags to the recipient identifier. The system may perform communication with a mobile device based on the robust recipient profile and a real-time location of the mobile device. To perform the communication, the system may monitor the plurality of data channels for data comprising real-time location information for the mobile device. The system may determine the mobile device is proximate to a physical object that is associated with the tag and the system may transmit offer information to the mobile device.

Abstract: A computer system may access an attributization rule and convert, based on the attributization rule, profile data into attributes for a robust recipient profile. The system may identify, based on tag logic, tags that are associated with the attributes. The tag logic may include instructions to compare the attributes with predetermined attributes associated with the tags. The system may map the identified tags to the recipient identifier. The system may perform communication with a mobile device based on the robust recipient profile and a real-time location of the mobile device. To perform the communication, the system may monitor the plurality of data channels for data comprising real-time location information for the mobile device. The system may determine the mobile device is proximate to a physical object that is associated with the tag and the system may transmit offer information to the mobile device.

Abstract: A computer system constructs a decision-predictive recipient profile using sensatory data tied to an online profile of a recipient. After obtaining base sensatory data tied to the online profile of the recipient, the system may filter the base sensatory data by searching the base sensatory data for one or more machine-cognizable characteristics. The filtered sensatory data may be provided to an execution group, which may review displays of the sensatory data. Responsive to the displays of the sensatory data, the execution group may generate descriptors of the content of the filtered sensatory data and send the descriptors to the system. The system may process the descriptors to generate or augment the decision-predictive recipient profile.

Abstract: A computer system may access an attributization rule and convert, based on the attributization rule, profile data into attributes for a robust recipient profile. The system may identify, based on tag logic, tags that are associated with the attributes. The tag logic may include instructions to compare the attributes with predetermined attributes associated with the tags. The system may map the identified tags to the recipient identifier. The system may perform communication with a mobile device based on the robust recipient profile and a real-time location of the mobile device. To perform the communication, the system may monitor the plurality of data channels for data comprising real-time location information for the mobile device. The system may determine the mobile device is proximate to a physical object that is associated with the tag and the system may transmit offer information to the mobile device.

Abstract: A computer system constructs a robust recipient profile. The system receives data associated with recipient digital interactions from, e.g., streaming and/or batch sources. The recipient data may include digital transactional data, social media data, or other recipient-specific information. The system may employ heuristic data ingestion processing to derive further data based on the data inputs and attributization, and thereby may develop a robust recipient profile by aggregating the processed and derived data. The system may implement production rules to determine recipient-specific custom metadata based on the robust recipient profile to transmit to the recipient.

Abstract: A computer system constructs a decision-predictive recipient profile using sensatory data tied to an online profile of a recipient. After obtaining base sensatory data tied to the online profile of the recipient, the system may filter the base sensatory data by searching the base sensatory data for one or more machine-cognizable characteristics. The filtered sensatory data may be provided to an execution group, which may review displays of the sensatory data. Responsive to the displays of the sensatory data, the execution group may generate descriptors of the content of the filtered sensatory data and send the descriptors to the system. The system may process the descriptors to generate or augment the decision-predictive recipient profile.

Abstract: Embodiments of the present disclosure include systems and methods for user discovery (e.g., corporate user discovery) and/or identification of recommended or suggested collaborators in a collaboration platform which may be a cloud-based platform. The disclosed technology enables a user to discover a network of users that they could be collaborating with but are not. This feature, can for example, identify the relevant users or the suggested users and depict the users in the user interface. The identification and selection of the suggested users/potential collaborators can be based on some criteria (e.g., email domain, when the account was created, etc.). These criteria can be set by system default, adjusted by individual users and/or configured/set by admins if a user belongs to a corporate account/enterprise account.

Abstract: A computer system constructs a robust recipient profile. The system receives data associated with recipient digital interactions from, e.g., streaming and/or batch sources. The recipient data may include digital transactional data, social media data, or other recipient-specific information. The system may employ heuristic data ingestion processing to derive further data based on the data inputs and attributization, and thereby may develop a robust recipient profile by aggregating the processed and derived data. The system may implement production rules to determine recipient-specific custom metadata based on the robust recipient profile to transmit to the recipient.

Abstract: Systems and methods for seamless access, editing, creating of files in a web or mobile interface to a collaborative cloud platform (e.g., cloud-based file sharing, collaboration and/or storage service) are disclosed herein. In one embodiment, a file accessed through the web or mobile interface is associated with an “Edit” button/action, or other similar feature. When selected, if an editor or other native application to edit or access the file is not installed, this action can automatically launch the installer and prompt the user to install the editor. If it is installed, this action can launch the native application on the user's computer.