摘要:
A user correlation system uses aggregated data and matching/comparison in order to assign an association score that determines likelihood that unique identifiers are associated with the same user.
摘要:
A data attribution system uses a unique identifier (UID) that uniquely identifies a particular individual. A search is conducted of different data sources and, different types of profile information associated with the UID is extracted from the data sources. The different types of profile information associated with the same UID is aggregated together and displayed in a same screen presentation on a user interface.
摘要:
A data attribution system uses a unique identifier (UID) that uniquely identifies a particular individual. A search is conducted of different data sources and, different types of profile information associated with the UID is extracted from the data sources. The different types of profile information associated with the same UID is aggregated together and displayed in a same screen presentation on a user interface.
摘要:
A user correlation system uses aggregated data and matching/comparison in order to assign an association score that determines likelihood that unique identifiers are associated with the same user.
摘要:
A reputability analysis system receives a domain assessment request associated with a domain and accesses a database to find a match for the domain. A reputability score is derived according to a hierarchical analysis of a matching domain in the database. Traceability, accountability, and association information associated with the domain assessment request may also be used to adjust the reputability score.
摘要:
A reputability analysis system receives a domain assessment request associated with a domain and accesses a database to find a match for the domain. A reputability score is derived according to a hierarchical analysis of a matching domain in the database. Traceability, accountability, and association information associated with the domain assessment request may also be used to adjust the reputability score.