Abstract: Methods, systems, and storage media for generating new record objects based on electronic activities are disclosed. Example implementations may: access a plurality of electronic activities; access a plurality of record objects; parse an electronic activity of the plurality of electronic activities; determine, responsive to parsing the electronic activity, that the electronic activity is to be matched to one or more record objects; determine for each candidate record object that a match score indicating a likelihood of electronic activity being matched to the candidate record object is below a threshold; determine an object type of a new record object to generate based on one or more participants of the electronic activity; generate the new record object of the determined type; and store in a data structure an association between the new record object and the electronic activity.

Abstract: The system and methods described herein can classify electronic activities based on sender and recipient information. The system can determine a relationship between a sender of an electronic activity and at least one recipient of the electronic activity using a sender node profile and a recipient node profile. The system can assign a tag to the electronic activity based on the relationship between the sender and one or more recipients of the electronic activity. The system can process the electronic activity based on the assigned tag.

Abstract: The systems and methods relate to updating a system of record by selectively generating record objects for the system of record according to information generated by parsing the electronic activities according to specific matching rules and/or filtering rules. By selectively generating the record objects in the specific manners described herein, the systems and methods can provide for better determinations about whether to generate new record objects that match the information generated by parsing the electronic activities, or to update an existing record object.

Abstract: The system and methods described herein can classify electronic activities based on sender and recipient information. The system can determine a relationship between a sender of an electronic activity and at least one recipient of the electronic activity using a sender node profile and a recipient node profile. The system can assign a tag to the electronic activity based on the relationship between the sender and one or more recipients of the electronic activity. The system can process the electronic activity based on the assigned tag.

Abstract: The present disclosure relates to systems and methods for generating new node profiles using information from electronic activities. The system is configured to maintain node profiles corresponding to unique entities; access electronic activities transmitted or received via electronic accounts associated with data source providers; identify a first email address of a sender and second email addresses of respective recipients of an electronic activity; identify that the first email address matches a value of a field of a first node profile; link the electronic activity to the first node profile; determine that a second email address of a respective recipient of the electronic activity cannot be matched to any node profile associated with the respective participant; and generate, responsive to determining that the electronic activity cannot be matched to any node profile of the plurality of node profiles, a new node profile including the second email address of the respective recipient.

Abstract: The present disclosure relates to systems and methods for generating new node profiles using information from electronic activities. The system is configured to maintain node profiles corresponding to unique entities; access electronic activities transmitted or received via electronic accounts associated with data source providers; identify a first email address of a sender and second email addresses of respective recipients of an electronic activity; identify that the first email address matches a value of a field of a first node profile; link the electronic activity to the first node profile; determine that a second email address of a respective recipient of the electronic activity cannot be matched to any node profile associated with the respective participant; and generate, responsive to determining that the electronic activity cannot be matched to any node profile of the plurality of node profiles, a new node profile including the second email address of the respective recipient.

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: Methods, systems, and storage media for generating new record objects based on electronic activities are disclosed. Example implementations may: access a plurality of electronic activities; access a plurality of record objects; parse an electronic activity of the plurality of electronic activities; determine, responsive to parsing the electronic activity, that the electronic activity is to be matched to one or more record objects; determine for each candidate record object that a match score indicating a likelihood of electronic activity being matched to the candidate record object is below a threshold; determine an object type of a new record object to generate based on one or more participants of the electronic activity; generate the new record object of the determined type; and store in a data structure an association between the new record object and the electronic activity.

Abstract: The system and methods described herein can classify electronic activities based on sender and recipient information. The system can determine a relationship between a sender of an electronic activity and at least one recipient of the electronic activity using a sender node profile and a recipient node profile. The system can assign a tag to the electronic activity based on the relationship between the sender and one or more recipients of the electronic activity. The system can process the electronic activity based on the assigned tag.

Abstract: The system and methods described herein can classify electronic activities based on sender and recipient information. The system can determine a relationship between a sender of an electronic activity and at least one recipient of the electronic activity using a sender node profile and a recipient node profile. The system can assign a tag to the electronic activity based on the relationship between the sender and one or more recipients of the electronic activity. The system can process the electronic activity based on the assigned tag.

Abstract: Methods, systems, and storage media for generating new record objects based on electronic activities are disclosed. Example implementations may: access a plurality of electronic activities; access a plurality of record objects; parse an electronic activity of the plurality of electronic activities; determine, responsive to parsing the electronic activity, that the electronic activity is to be matched to one or more record objects; determine for each candidate record object that a match score indicating a likelihood of electronic activity being matched to the candidate record object is below a threshold; determine an object type of a new record object to generate based on one or more participants of the electronic activity; generate the new record object of the determined type; and store in a data structure an association between the new record object and the electronic activity.

Abstract: The present disclosure relates to systems and methods for generating new node profiles using information from electronic activities. The system is configured to maintain node profiles corresponding to unique entities; access electronic activities transmitted or received via electronic accounts associated with data source providers; identify a first email address of a sender and second email addresses of respective recipients of an electronic activity; identify that the first email address matches a value of a field of a first node profile; link the electronic activity to the first node profile; determine that a second email address of a respective recipient of the electronic activity cannot be matched to any node profile associated with the respective participant; and generate, responsive to determining that the electronic activity cannot be matched to any node profile of the plurality of node profiles, a new node profile including the second email address of the respective recipient.

Abstract: The system and methods described herein can classify electronic activities based on sender and recipient information. The system can determine a relationship between a sender of an electronic activity and at least one recipient of the electronic activity using a sender node profile and a recipient node profile. The system can assign a tag to the electronic activity based on the relationship between the sender and one or more recipients of the electronic activity. The system can process the electronic activity based on the assigned tag.

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: Methods, systems, and storage media for generating new record objects based on electronic activities are disclosed. Example implementations may: access a plurality of electronic activities; access a plurality of record objects; parse an electronic activity of the plurality of electronic activities; determine, responsive to parsing the electronic activity, that the electronic activity is to be matched to one or more record objects; determine for each candidate record object that a match score indicating a likelihood of electronic activity being matched to the candidate record object is below a threshold; determine an object type of a new record object to generate based on one or more participants of the electronic activity; generate the new record object of the determined type; and store in a data structure an association between the new record object and the electronic activity.