A method may include receiving an outbound communication directed to one or more recipient addresses from a communications infrastructure hosting the true address for the user. A server or similar intermediary may generate an alias address for each recipient address in an outbound communication so that each recipient may communicate with the true address using a unique reply channel. A discrete security state may be assigned as a security attribute to each such alias address. The discrete security state, which can be controlled by the user and stored, e.g., at the intermediate server, establishes rules for controlling communications from one of the recipient addresses through the communications infrastructure to the true address via one of the alias addresses. Once an alias and a security state are assigned in this manner to facilitate handling of responsive communications, the outbound communication may be forwarded to recipient addresses through the communication network.

The present invention relates generally to a system and method for the monitoring of email and other message traffic on a network. The intent of the monitoring to determine if message traffic is abnormal, thus indicating unwanted messages such as spam. A number of methods may be utilized by the invention to recognize unwanted messages, including the calculation of fanout, the number of messages sent by a unique host, unique email address or domain. Also included is fanin, the number of messages received from unique hosts, unique domains or unique email addresses. Further components consider the number of error messages received from a host, variations in bandwidth from a host, and variations in message content from a host.

The system described herein can automatically match, link, or otherwise associate electronic activities with one or more record objects. For an electronic activity that is eligible or qualifies to be matched with one or more record objects, the system can identify one or more set of rules or rule sets. Using the rule sets, the system can identify candidate record objects. The system can then rank the identified candidate record objects to select one or more record objects with which to associate the electronic activity. The system can then store an association between the electronic activity and the selected one or more record objects.

The present disclosure relates to systems and methods for updating multiple value data structures using a single electronic activity. Exemplary embodiments may include hardware processors configured by machine-readable instructions to access electronic activities transmitted or received via electronic accounts associated with data source providers; to maintain and update node profiles; to determine a first activity field-value pair and a second activity field-value pair associated with a participant of the first electronic activity; to identify a first node profile of the node profiles that includes a first node field-value pair that matches the first activity field-value pair; to update a first value data structure corresponding to a first value included in the first node field-value pair by adding a first entry to the first value data structure identifying the first electronic activity; and to update a second value data structure corresponding to a second value.

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 systems and methods for filtering electronic activities. Exemplary implementations may include ingesting a first electronic activity; identifying an associated entity; and selecting a first filtering model based on the entity, the first filtering model trained to indicate whether to restrict further processing of ingested electronic activities. The method may further include generating a plurality of structured data tags for the first electronic activity; applying the selected first filtering model to the plurality of structured data tags for the first electronic activity to determine whether the first electronic activity satisfies a first restriction condition; and responsive to the first electronic activity satisfying the first restriction condition, restricting the first electronic activity from further processing; or responsive to the first electronic activity not satisfying the first restriction condition, further processing, by the one or more processors, the first electronic activity.

The present disclosure relates to node deduplication based on a node merging policy. A plurality of node profiles may be maintained. Each node profile may include plurality of fields. Each field of the plurality of fields may include one or more values. For a node profile including one or more field-value pairs, each field-value pair may be identified. Each field-value pair may include a value of a field. A respective weight may be assigned to each field-value pair based on a number of field-value pairs or a confidence score. Based on the respective weights assigned to each field-value pair, it may be determined that node profiles satisfy a node profile merging policy. The node profiles may be merged based on the node profiles satisfying the node profile merging policy. Field-value pairs including a value of a field may be identified.

The present disclosure relates to restricting generation and delivery of insights to data source providers. Electronic activities and record objects 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. Updates to a node graph or corresponding to a record object may be detected. A number of data source providers having respective electronic activities or record objects from which the update to the node graph or corresponding to the record object can be determined. Provisioning of a content item to a second data source provider may be restricted.

The system described herein can automatically match, link, or otherwise associate electronic activities with one or more record objects. For an electronic activity that is eligible or qualifies to be matched with one or more record objects, the system can identify one or more set of rules or rule sets. Using the rule sets, the system can identify candidate record objects. The system can then rank the identified candidate record objects to select one or more record objects with which to associate the electronic activity. The system can then store an association between the electronic activity and the selected one or more record objects.

This disclosure relates to methods, systems, and storage media for generating a performance profile of a node profile. First electronic activities linked to a first node profile can be accessed. For each first electronic activity, a type of the first electronic activity can be determined. A feature extraction policy can be selected to generate a first feature array for the first electronic activity. The first feature array for the first electronic activity can be generated based on the type of the first electronic activity. A first performance profile of the first node profile can be generated for the time period by providing the generated first feature array for each first electronic activity to one or more models trained using second feature arrays corresponding to second electronic activities of second node profiles. An association between the first node profile and the first performance profile can be stored.