Konferenzbeitrag
Toward an adaptive string similarity measure for matching product offers
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Dokumententyp
Text/Conference Paper
Dateien
Datum
2010
Autor:innen
Zeitschriftentitel
ISSN der Zeitschrift
Bandtitel
Quelle
INFORMATIK 2010. Service Science – Neue Perspektiven für die Informatik. Band 1
Regular Research Papers
Verlag
Gesellschaft für Informatik e.V.
Zusammenfassung
Product matching aims at identifying different product offers referring to the same real-world product. Product offers are provided by different merchants and describe products using textual attributes such as offer title and description. String similarity measures therefore play an important role for matching corresponding product offers. In this paper, we propose an adaptive string similarity measure that automatically adjusts the relevance of terms for the product matching. This adaptation is done step-by-step during the match process and does not require training data. We demonstrate that this approach improves the match quality in comparison to the generic TFIDF string similarity measure.