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.

The present disclosure relates to determining domain names of a group entity using electronic activities and systems of record. A method can include maintaining a plurality of node profiles including one or more node field-value pairs. Each node profile of the plurality of node profiles can identify a group entity. The method can include identifying a first domain name corresponding to the group entity. The method can include accessing a plurality of data points corresponding to a subset of the plurality of node profiles. The method can include updating each respective node profile of the subset to include a respective second electronic account identifier corresponding to the node profile. The method can include storing, in at least one first data structure, an association between the group entity, the first domain name, and a second domain name corresponding to the second electronic account identifiers.

The present disclosure relates to determining domain names of a group entity using electronic activities and systems of record. A method can include maintaining a plurality of node profiles including one or more node field-value pairs. Each node profile of the plurality of node profiles can identify a group entity. The method can include identifying a first domain name corresponding to the group entity. The method can include accessing a plurality of data points corresponding to a subset of the plurality of node profiles. The method can include updating each respective node profile of the subset to include a respective second electronic account identifier corresponding to the node profile. The method can include storing, in at least one first data structure, an association between the group entity, the first domain name, and a second domain name corresponding to the second electronic account identifiers.

A system and method having an improved communication system and method to permanently create and maintain private connections between entities such as two people, businesses, and/or other types of organizations and entities whereby to create an account with the example communication system, a user may complete an online personal contact application, such that once the information is verified, the user may be assigned a Unique Identification.

A method, system, and/or computer program product controls movements and adjusts operations of a robot or collection of robots over a computer network. The system allows for the dynamic creation of cloud message queues, and uses a hierarchical message format and weight matrix collapse method to allow multi-entity deconfliction of control messages so that multiple operators, either human or intelligent software agents, may simultaneously control one or more robots or subassemblies of robots and/or other electronic/mechatronic devices.

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 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.

Systems and methods for associating sessions of encrypted identifiers are provided. A collection of data packets received during one or more sessions within a time period may be retrieved. Each packet in the collection may be associated with a unique identifier of a respective session. An epoch time may be calculated for each of the retrieved data packets based on the determined skew and respective timestamp information of the data packet. It may be identified as to whether each of the calculated epoch times matches a previously calculated epoch time for a packet associated with a previous session or a session that has previously been associated with a selected session. The timestamp information may be associated with a browser identifier and subject to encryption/decryption by an identifier server or authorized parties.

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 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.