Experian Information Solutions, Inc.

Derek Toub

Alan Tsang

Eric Haller

Zhixuan Wang

Kevin Chen

Jack Yu

Christopher Wheeler

Sreeram Upendran

Steven Yin

David Kerry

Yue Yu

Hua Li

Christer DiChiara

Shervin Sharifi

Wis Kojohnjaratkul

Mustafa Yakub Adib

Zehua Guo

Stuart Anthony Mathews

Systems and methods are described for identifying a target entity that a user intends to refer to based on input that may include only a partial name of the entity. A system may receive a user's entity search query, which may include a partial entity name, then may determine initial candidate matching entities and associated name match scores for each of the initial candidate matching entities relative to the input string, such as using string matching or fuzzy matching techniques. The system may apply a probability match model to generate an overall match score for individual ones of the initial candidate matching entities, then may generate a response to the entity search query that includes information regarding one or more of the initial candidate matching entities with an overall match score exceeding a threshold.

Systems and methods for entity resolution

Features are described for efficiently and accurately identifying a user of an electronic device with limited user interaction. The features include receiving a mobile device identifier from the mobile device. The features include transmitting the mobile device identifier to a service provider associated with the mobile device. The features include receiving information identifying the user from the service provider. The features include identifying a set of candidates associated with at least a portion of the information. The features include generating a metric for the candidates included in the set of candidates. An individual metric indicates a degree of relatedness between a value for the user for the at least one data field and a value for a candidate for the at least one data field. The features include identifying the user as a specific candidate included in the set of candidates based on the metric corresponding to a threshold.

Disambiguation and authentication of device users

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San Diego, CA, United States of America

Derek Toub