EFFICIENT PARALLELIZED COMPUTATION OF GLOBAL BEHAVIOR PROFILES IN REAL-TIME TRANSACTION SCORING SYSTEMS
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United States of America Patent
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Oct 10, 2019
app pub date -
Apr 6, 2018
filing date -
Apr 6, 2018
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Abstract
Parallelized computation by a real-time transaction scoring system that incorporates global behavior profiling of transacting entities includes dividing a global profile computing component of a transaction scoring model of a real-time behavioral analytics transaction scoring system into a plurality of global profile component instances. The transaction scoring model uses a plurality of global profile variables, each of the plurality of global profile component instances using its own global profile partition that contains the estimate of global profile variables and being configured for update by a dedicated thread of execution of the real-time transaction scoring system, each dedicated thread being configured for receiving and scoring a portion of input transactions. The method further includes partitioning, based on one or more transaction routing shuffling algorithms, the input transactions for receipt across the plurality of global profile component instances, and updating each of the plurality of global profile partitions by the corresponding global profile component running in the dedicated thread according to the scoring algorithm.
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