DOI - Vydavatelství Mendelovy univerzity v Brně

Identifikátory DOI

DOI: 10.11118/ecos2026_028

PRODUCT NAME MATCHING

Jan Přichystal1
1 Department of Informatics, Faculty of Business and Economics, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech Republic

The problem of product name matching belongs to the area of entity matching which is one of the data integration tasks. It plays an important role in the analysis of data available on the internet and it combines various techniques and data preprocessing. Gathering and analyzing customer reviews about products published on the internet is challenging task, because particular e-shops offer the products under a bit different names and it could be complicated to match identical products. The article aims at selecting the identical products identified by their names and introduces methods for product name matching based on machine learning using the combination of token-based and character-based functions.

Klíčová slova: customer reviews, product name, entity matching, machine learning

stránky: 264-270, online: 2026



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