The 41st Parameter, Inc.

Amazon Technologies, Inc.

Manoj Khanwalkar

Stephen Van Lare

Adler Camacho

Luke David Tuttle

Surag I Patel

Omer Winkler

Allen Robert Arango

Mohsin Khan

A method for providing access to an aggregated profile can include receiving data from data sources. The data can include one or more identification indicators for target entities. Each identification indicator can be mapped to one or more entities of the target entities. Historical interactions that may be associated with the target entities can be identified based at least in part on the mapping. A particular target entity of the target entities can be identified based at least in part on the mapping and the one or more historical interactions. An aggregated profile can be generated for the particular target entity based at least in part on the mappings and the one or more historical interactions. Access can be provided to the aggregated profile.

Aggregated profile for content recommendation

An electronic device identifier mapping and resolution system are disclosed which may be used to analyze various device identifiers associated with an online event initiated by a particular device in applying a matching algorithm to determine a unique device identifier and/or device profile for the device. Device identifiers provided from disparate sources (such as web browser cookies, network IP addresses, device-specific identifiers, application-specific identifiers, custom identifiers, probabilistic identifiers, etc.), including both deterministic and/or probabilistic identifiers, may be analyzed according to the matching algorithm to determine a device identifier associated with the device. Matching algorithms may be customized and configured to a high degree of complexity for respective entities, such as to analyze disparate device identifiers according to a variety of identifier comparison functions and matching tiers. Matching algorithms may include conditional requirements that streamline execution of such algorithms, e.g., which may reduce processor load and increase execution time, such as conditional requirements that bypass portions of the matching algorithm based on particular identifiers associated with the online event that are initially analyzed.

Data structures for intelligently resolving deterministic and probabilistic device identifiers to device profiles and/or groups

Growing community of inventors

Princeton Junction, NJ, United States of America

Manoj Khanwalkar