Mathematical analysis of online perfume data shows how the unique scent combinations found in different perfumes contribute to product popularity and consumer ratings. Vaiva Vasiliauskaite and Tim Evans of Imperial College London, U.K., present these findings in the open-access journal PLOS ONE on July 3, 2019.
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Source: Phys.org