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Thesaurus matching in electronic commerce

Author

Listed:
  • Thomas Cerqueus

    (Lengow)

  • Jonathan Bonnaud

    (Lengow)

  • Oleksandr Dashkov

    (Lengow)

  • Emmanuel Morin

    (LS2N - University of Nantes, CNRS)

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.

Suggested Citation

  • Thomas Cerqueus & Jonathan Bonnaud & Oleksandr Dashkov & Emmanuel Morin, 2022. "Thesaurus matching in electronic commerce," Electronic Commerce Research, Springer, vol. 22(2), pages 513-538, June.
    • Handle: RePEc:spr:elcore:v:22:y:2022:i:2:d:10.1007_s10660-020-09438-9
    DOI: 10.1007/s10660-020-09438-9
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