Thesaurus matching in electronic commerce

Thomas Cerqueus (), Jonathan Bonnaud (), Oleksandr Dashkov () and Emmanuel Morin ()
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Thomas Cerqueus: Lengow
Jonathan Bonnaud: Lengow
Oleksandr Dashkov: Lengow
Emmanuel Morin: LS2N - University of Nantes, CNRS

Electronic Commerce Research, 2022, vol. 22, issue 2, No 12, 513-538

Abstract: Abstract This paper tackles the problem of e-commerce thesauri alignment. It includes the definition of three alignment techniques which can be combined to increase the effectiveness and reduce the execution time. It also introduces a filtering technique to reduce the number of candidates returned to the final user. This work reports a set of evaluations that were lead with real-world data. Results show that the proposed techniques outperform schema, the state-of-the-art approach. They also drastically reduce the execution time, thus making them more usable in real-world applications.

Keywords: Thesaurus; Category; Matching; Alignment; E-commerce (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s10660-020-09438-9

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