Patents Assigned to Intelius
  • Patent number: 8949158
    Abstract: Record Linkage (RL) is the task of identifying two or more records referring to the same entity (e.g., a person, a company, etc.). RL models can be based on Cost Sensitive Alternating Decision Trees (ADTree), an algorithm that uniquely combines boosting and decision trees algorithms to create shorter and easier-to-interpret linking rules. These models can be naturally trained to operate at industrial precision/recall operating points, and the shorter output rules are so clear that it can effectively explain its decisions to non-technical users via score aggregation or visualization. The models significantly outperform other baselines on the desired industrial operating points, and the improved understanding of the model's decisions led to faster debugging and feature development cycles.
    Type: Grant
    Filed: October 25, 2011
    Date of Patent: February 3, 2015
    Assignee: Intelius Inc.
    Inventors: Andrew Borthwick, Sheng Chen
  • Patent number: 8938434
    Abstract: Records are obtained from various sources, including public records, and are then augmented and grouped. At least one augment key is applied to each of the records resulting in an augment key value for each record. The records are augmented based on the key value. Augmenting the records includes combining the fields of the common records into a single record and then removing the duplicate records. The augmented records are then grouped according to household. At least one household grouping key is applied to each of the augmented records resulting in a household grouping key value for each record. The records having the same household grouping key value are displayed as a household grouping.
    Type: Grant
    Filed: November 22, 2005
    Date of Patent: January 20, 2015
    Assignee: Intelius, Inc.
    Inventors: Naveen K. Jain, John K. Arnold, Kevin R. Marcus, Niraj Anil Shah
  • Patent number: 8645399
    Abstract: Dynamic blocking determines which pairs of records in a data set should be examined as potential duplicates. Records are grouped together into blocks by shared properties that are indicators of duplication. Blocks that are too large to be efficiently processed are further subdivided by other properties chosen in a data-driven way. We demonstrate the viability of this algorithm for large data sets. We have scaled this system up to work on billions of records on an 80 node Hadoop cluster.
    Type: Grant
    Filed: January 12, 2012
    Date of Patent: February 4, 2014
    Assignee: Intelius Inc.
    Inventors: William P. McNeill, Andrew Borthwick
  • Publication number: 20060248048
    Abstract: Records are obtained from various sources, including public records, and are then augmented and grouped. At least one augment key is applied to each of the records resulting in an augment key value for each record. The records are augmented based on the key value. Augmenting the records includes combining the fields of the common records into a single record and then removing the duplicate records. The augmented records are then grouped according to household. At least one household grouping key is applied to each of the augmented records resulting in a household grouping key value for each record. The records having the same household grouping key value are displayed as a household grouping.
    Type: Application
    Filed: November 22, 2005
    Publication date: November 2, 2006
    Applicant: Intelius
    Inventors: Naveen Jain, John Arnold, Kevin Marcus, Niraj Shah
  • Publication number: 20060248021
    Abstract: Public records are used to help in the detection and prevention of fraud as well as to verify a consumer. Public records are accessed in real-time and then used to determine if a consumer is who they claim to be or is a fraudster. Questions are generated using the public records based on an initial fraud score and a verification level associated with the entity requesting the fraud and verification services. Based on the response to the questions, the fraud score is updated and a confidence level is returned to the requestor to determine whether the user is legitimate or a fraudster. The questions may be presented online or offline. The verification can be different for every merchant.
    Type: Application
    Filed: November 22, 2005
    Publication date: November 2, 2006
    Applicant: Intelius
    Inventors: Naveen Jain, John Arnold, Kevin Marcus, Niraj Shah