Abstract: The present disclosure relates to determining detecting blast electronic activities. A method can include identifying a plurality of first electronic activities transmitted by a first electronic account of a data source provider. For each first electronic activity of the plurality of first electronic activities, a plurality of features can be extracted. For at least one first electronic activity of the plurality of first electronic activities, a blast probability score can be generated indicating a likelihood that the at least one first electronic activity is a blast electronic activity. The blast probability score can be generated using a machine learning model trained using features extracted from second electronic activities labeled as blast electronic activities and features extracted from third electronic activities labeled as non-blast electronic activities. An association between the at least one first electronic activity and the blast probability score can be stored in a data structure.

Abstract: 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.

Abstract: The present disclosure relates to maintaining an electronic activity derived member node network. Exemplary implementations may: generate a plurality of node profiles; generate a node graph generated from the plurality of node profiles; identify a second electronic activity identifying a pair of electronic accounts; identify using the node graph, a pair of participant node profiles corresponding to the pair of electronic accounts identified by the second electronic activity; identify, using the node graph, an edge between a pair of nodes corresponding to the pair of participant node profiles; determine a relevancy score for the second electronic activity corresponding to the pair of the participant node profiles based on context of the second electronic activity; and update the node graph by modifying the connection corresponding to the edge between the pair of participant node profiles based on the relevancy score determined for the second electronic activity.

Abstract: The present disclosure is directed to systems and methods of maintaining confidence scores of entity associations derived from systems of record. The system can access a record objects of systems of record. The system can identify, from a record object corresponding to a first group entity, an account relationship data structure specifying a relationship. The system can identify a first group node profile corresponding to the first group entity. The system can identify, for each second group entity, a second group node profile. The system can detect a change in a relationship of the group entities in the account relationship data structure or from electronic activities. The system can determine, between the first and a second group node profile, a relationship type in the change. The system can update, in a node graph, an edge between a first and a second group node profile to indicate the relationship type.

Abstract: Systems and methods for providing content items can generate the content items based on impact scores associated with actions of the content items. The system and methods can include accessing, for an entity, a plurality of record objects linked with one or more electronic activities having the entity as a participant, each record object corresponding to an event to be completed; identifying, for each record object of the plurality of record objects, an action to perform to increase a completion score; determining, for each action, using the electronic activities linked with the record object and a current completion score of the record object, an impact score indicating an amount of change in the completion score of the record object corresponding to the action; and providing, for presentation to a device of the entity, a content item corresponding to the action based on the impact score.

Abstract: 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.

Abstract: The present disclosure relates to systems and methods for removing electronic activities from systems of record based on filtering policies. The method includes accessing record objects of one or more systems of record. The method includes identifying a plurality of electronic activities stored in a record object of one of the systems of record. The method includes parsing the plurality of electronic activities. The method includes determining that one of the electronic activities is associated with an electronic account corresponding to a data source provider. The method includes selecting one or more filtering policies associated with the electronic account. The method includes applying the selected one or more filtering policies to the plurality of electronic activities to identify a subset of electronic activities. The method includes initiating a process to cause removal of at least one electronic activity of the subset of electronic activities from the system of record.

Abstract: 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.

Abstract: The present disclosure relates to for managing the generation or deletion of record objects based on electronic activities and communication policies. Data of a plurality of electronic activities from one or more electronic accounts of the entity may be identified. It may be determined whether the identified data satisfies a communication policy. The communication policy may include one or more rules based on the electronic activities. Instructions to generate a contact record object or instructions to delete an existing contact record for the entity may be transmitted based on the condition of the communication of the communication policy that is satisfied.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: A method for managing information corresponding to electronic activities may include accessing a plurality of electronic activities transmitted or received via electronic accounts associated with a plurality of data source providers, maintaining a plurality of node profiles, updating the plurality of node profiles using the plurality of electronic activities, and identifying a node profile with which to link the electronic activity. The method further includes selecting, using an electronic activity management policy, an electronic activity management process of a plurality of electronic activity management processes based on i) at least one value of one or more predetermined field-value pairs of the node profile satisfying a location-based condition, or ii) a communication history between a first electronic account of the node profile and a second participant of the electronic activity.

Abstract: Systems and methods for forecasting record object completions can include accessing, for a first record object, electronic activities linked with the first record object. Each electronic activity can identify participants associated with the first record object. The first record object can include a first object field-value pair identifying a stage of a process. The method can include identifying electronic activities. The systems and methods can include determining a role of participants. The systems and methods can include determining a likelihood that the process of the first record object is completed within a predetermined time period. The systems and methods can include storing an association between the first record object and the likelihood that the process of the first record object is completed within a predetermined time period.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods for determining a preferred communication channel can be based on determining a status of a node profile using electronic activities. The system and methods can include accessing a plurality of electronic activities and maintaining a plurality of node profiles. The system and methods can include identifying a node profile and generating a communication mode schedule. The systems and methods can include transmitting a notification to a device via a communication selected using the communication mode schedule.