Abstract: Described are platforms, systems, and methods for determining quantifiable measures of dyadic ties. In one aspect, a method comprises receiving contextual data for a user from at least one data source; processing the contextual data through a first machine-learning model to determine quantifiable measures of dyadic ties between the user and each of a plurality of individuals, the first machine-learning model trained with previously received contextual data of a plurality of other users; determining a grouping for the user based on the determined quantifiable measures, the grouping comprising at least one of the individuals; and providing, through a user-interface, access to the determined quantifiable measures to members of the grouping.

Abstract: Described are platforms, systems, and methods for determining quantifiable measures of dyadic ties. In one aspect, a method comprises receiving contextual data for a user from at least one data source; processing the contextual data through a first machine-learning model to determine quantifiable measures of dyadic ties between the user and each of a plurality of individuals, the first machine-learning model trained with previously received contextual data of a plurality of other users; determining a grouping for the user based on the determined quantifiable measures, the grouping comprising at least one of the individuals; and providing, through a user-interface, access to the determined quantifiable measures to members of the grouping.

Abstract: Described are platforms, systems, and methods for determining quantifiable measures of dyadic ties. In one aspect, a method comprises receiving contextual data for a user from at least one data source; processing the contextual data through a first machine-learning model to determine quantifiable measures of dyadic ties between the user and each of a plurality of individuals, the first machine-learning model trained with previously received contextual data of a plurality of other users; determining a grouping for the user based on the determined quantifiable measures, the grouping comprising at least one of the individuals; and providing, through a user-interface, access to the determined quantifiable measures to members of the grouping.

Abstract: Described are platforms, systems, and methods for determining quantifiable measures of dyadic ties. In one aspect, a method comprises receiving contextual data for a user from at least one data source; processing the contextual data through a first machine-learning model to determine quantifiable measures of dyadic ties between the user and each of a plurality of individuals, the first machine-learning model trained with previously received contextual data of a plurality of other users; determining a grouping for the user based on the determined quantifiable measures, the grouping comprising at least one of the individuals; and providing, through a user-interface, access to the determined quantifiable measures to members of the grouping.

Abstract: Described are platforms, systems, and methods for determining quantifiable measures of dyadic ties. In one aspect, a method comprises receiving contextual data for a user from at least one data source; processing the contextual data through a first machine-learning model to determine quantifiable measures of dyadic ties between the user and each of a plurality of individuals, the first machine-learning model trained with previously received contextual data of a plurality of other users; determining a grouping for the user based on the determined quantifiable measures, the grouping comprising at least one of the individuals; and providing, through a user-interface, access to the determined quantifiable measures to members of the grouping.

Abstract: A method has acts for receiving a transaction request in a contact center at a server having a processor, retrieving from data accompanying the transaction request identifying information regarding an originating node for the transaction request and identity of a sender of the transaction request, comparing the identifying information with stored data associating identifying information with specific aircraft providing on-board Internet service, discovering an association indicating the sender of the request is currently transacting as a passenger on a specific aircraft, retrieving further information regarding the passenger if available, retrieving information about the specific aircraft, including at least current flight status, routing the transaction request to an available contact center agent, connecting the passenger in a communication session with the agent, and displaying the information regarding the passenger, if any, and the information regarding the specific aircraft for use by the agent during t

Abstract: A system and method for connecting first and second transaction entities includes displaying a transaction associated with the first transaction entity where the transaction may be associated with a category of transactions. An option is also displayed to request interaction with the first transaction entity. A processor receives selection of the option and transmits a command to establish the interaction between the first transaction entity and the second transaction entity. The interaction is recorded and stored in a data storage device. The processor analyzes the recorded interaction and, according to one embodiment, detects one or more keywords in the recording. A notification may be transmitted in response to the detected one or more keywords. In another embodiment, the processor may detect a trend from analysis of the recording and may make a modification relating to future transactions associated with the category of transactions based on the detected trend.

Abstract: A system and method for connecting first and second transaction entities includes displaying a transaction associated with the first transaction entity where the transaction may be associated with a category of transactions. An option is also displayed to request interaction with the first transaction entity. A processor receives selection of the option and transmits a command to establish the interaction between the first transaction entity and the second transaction entity. The interaction is recorded and stored in a data storage device. The processor analyzes the recorded interaction and, according to one embodiment, detects one or more keywords in the recording. A notification may be transmitted in response to the detected one or more keywords. In another embodiment, the processor may detect a trend from analysis of the recording and may make a modification relating to future transactions associated with the category of transactions based on the detected trend.

Abstract: A system and method for connecting first and second transaction entities includes displaying a transaction associated with the first transaction entity where the transaction may be associated with a category of transactions. An option is also displayed to request interaction with the first transaction entity. A processor receives selection of the option and transmits a command to establish the interaction between the first transaction entity and the second transaction entity. The interaction is recorded and stored in a data storage device. The processor analyzes the recorded interaction and, according to one embodiment, detects one or more keywords in the recording. A notification may be transmitted in response to the detected one or more keywords. In another embodiment, the processor may detect a trend from analysis of the recording and may make a modification relating to future transactions associated with the category of transactions based on the detected trend.

Abstract: A method has acts for receiving a transaction request in a contact center at a server having a processor, retrieving from data accompanying the transaction request identifying information regarding an originating node for the transaction request and identity of a sender of the transaction request, comparing the identifying information with stored data associating identifying information with specific aircraft providing on-board Internet service, discovering an association indicating the sender of the request is currently transacting as a passenger on a specific aircraft, retrieving further information regarding the passenger if available, retrieving information about the specific aircraft, including at least current flight status, routing the transaction request to an available contact center agent, connecting the passenger in a communication session with the agent, and displaying the information regarding the passenger, if any, and the information regarding the specific aircraft for use by the agent during t