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• W13752685 abstract "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." @default.
• W13752685 created "2016-06-24" @default.
• W13752685 creator A5015557906 @default.
• W13752685 date "2010-01-01" @default.
• W13752685 modified "2023-09-26" @default.
• W13752685 title "Toward an adaptive string similarity measure for matching product offers" @default.
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