Dev Conference by Neo4j
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Session Track: Data Science
Session Time:
Session description
In the context of identity resolution at LATAM Airlines, the necessity to advance name comparison methods became clear. After several months of employing the Sorensen-Dice algorithm, it was evident that optimization was possible. They then enhanced the algorithm with more realistic, name-based modifications. This session will provide a detailed comparison and the outcomes of this enhancement process. Attendees will gain insights into the challenges and solutions in refining name comparison algorithms, learning how these improvements can be applied to boost the accuracy of identity resolution.
Data Scientist, LATAM Airlines
Mauricio Genta is a mathematics grounded data scientist/engineer, who tries to produce value for LATAM Airlines using his skills and creativity.
Data Scientist, LATAM Airlines
Data scientist with an atmospheric sciences background tackling entity resolution problems.
