The present disclosure relates to systems and methods for filtering electronic activities. The method includes identifying an electronic activity. The method includes parsing the electronic activity to identify one or more electronic accounts in the electronic activity. The method includes determining, responsive to parsing the electronic activity, that the electronic activity is associated with an electronic account of the one or more electronic accounts. The method includes selecting, based on the electronic account, one or more filtering policies associated with the data source provider to apply to the electronic activity. The method includes determining, by applying the selected one or more filtering policies to the electronic activity, to restrict the electronic activity from further processing based on the electronic activity satisfying at least one of the selected one or more filtering policies. The method includes restricting, the electronic activity from further processing.

Systems and methods for inferring schedule patterns using electronic activities of node profiles are disclosed. Exemplary implementations may: access electronic activities via electronic accounts associated with data source providers; identify, for a node profile, a set of electronic activities of each electronic account linked to the node profile within a time period; identify for each electronic activity, a timestamp of the electronic activity; generate for each time interval within the time period, a temporal distribution of electronic activity for the time interval based on respective timestamps of each electronic activity; determine an electronic activity pattern based on the temporal distribution of electronic activity for each time interval within the time period; identify based on the electronic activity pattern, a first region of the electronic activity pattern satisfying a region identification policy; and store, in one or more data structures, an association between the first region and the node profile.

The present disclosure relates to inferring a time zone of a node profile using electronic activities. A method can include accessing a plurality of electronic activities transmitted or received via a plurality of electronic accounts. The method can include identifying, for a node profile, a set of electronic activities sent from or received by an electronic account of the plurality of electronic accounts linked to the node profile within a time period. The method can include identifying, for each electronic activity of the set of electronic activities, a timestamp at which the electronic activity was sent or received. The method can include generating, for each of a plurality of time intervals within the time period, a temporal distribution of electronic activity based on respective timestamps of each electronic activity. The method can include determining a time zone of the node profile based on the temporal distribution.

The present disclosure relates to systems and methods for estimating time to perform electronic activities. Exemplary implementations may: identify an electronic activity identifying a sender and one or more recipients and a body including content; determine using a quality estimation model, a quality of electronic activity (QoE) score corresponding to an estimated quality of the electronic activity; parse the content of the electronic activity; generate, using a language complexity determination engine, a language complexity score indicating a level of language complexity; determine a character count or word count; determine an estimated amount of time taken to generate the electronic activity using the language complexity score and the character count or word count; generate the QoE score corresponding to the estimated quality based on the estimated amount of time; and store in a data structure, an association between the electronic activity and the QoE score.

Various mechanisms are disclosed for a service domain charging system that can interact with underlying networks. A service domain charging architecture is defined with several logical functions. Service-based charging types may be and applied to existing event, session, online, and offline charging mechanisms. Service domain charging messages may be exchanged over the X, Y, Z reference points. An E reference point may be used for interfacing with a service domain billing system, and a B reference point may be used between a service domain billing system and underlying network's billing system.

Systems and methods for matching electronic activities to record objects using feedback based match policies can include accessing a plurality of electronic activities and record objects. The systems and method can include identifying candidate record objects by applying a matching model. The systems and methods can include selecting a record object based on a match score. The systems and methods can include configuring the matching model in a first configuration responsive to a first feedback type or configuring the matching model in a second configuration responsive to a second feedback type.

The present disclosure relates to methods, systems, and storage media for detecting events based on updates to node profiles from electronic activities. Exemplary implementations may access an electronic activity transmitted or received via an electronic account associated with a data source provider; generate a plurality of activity field-value pairs; maintain a plurality of node profiles; identify a first state of a first node profile of the plurality of node profiles; update the first node profile using the electronic activity; identify a second state of the first node profile subsequent to updating the first node profile using the electronic activity; detect a state change of the first node profile based on the first state and the second state; determine that the state change satisfies an event condition; and store an association between the first node profile and an event type corresponding to the event condition.

The present disclosure relates to a method for updating labels assigned to electronic activities. The method includes accessing electronic activities transmitted or received via electronic accounts associated with data source providers. The node profiles can be updated using the electronic activities. The method includes matching one of the electronic activities to participant node profiles, each corresponds to one of the electronic accounts via which the electronic activity is transmitted or received. The method includes assigning tags to the electronic activity based on the participant node profiles. The method includes detecting a change to the participant node profiles. The method includes determining whether to update the tags assigned to the electronic activity based on the detected change to the participant node profile. The method includes modifying the tag assigned to the electronic activity responsive to determining to update the tag in accordance with the detected change.

The present disclosure relates to determining the shareability of values of node profiles. Record objects and electronic activities of a system of record corresponding to a data source provider may be accessed. Each record object may correspond to a record object type and have one or more object field-value pairs. Node profiles may be maintained. Values of fields corresponding to a predetermined type of field including fewer than a predetermined threshold number of data source providers may be identified. A restriction tag used to restrict populating other node profiles may be generated. Provision of the value with a second data source provider may be restricted.

The present disclosure relates to updating record objects of tenant systems of record based on a change to a corresponding record object of a master system of record. A method can include identifying a first record object from a first system of record including record objects generated using second systems of record of a plurality of data source providers. The method can include determining an update to a first object field-value pair of the first record object of the first system of record. The method can include identifying a plurality of second record objects of the second systems of record that are linked to the first record object of the first system of record. The method can include updating at least one second record object by changing a value of an existing object field-value pair of the at least one second record object or adding a new object field-value pair to the at least one second record object.