Automatic Product Taxonomy Mapping in E-Commerce

Provided by: Erasmus University Rotterdam
Topic: Developer
Format: PDF
Obtaining a useful complete overview of web-based product information has become difficult now-a-days due to the ever-growing amount of information available on online shops. Findings from previous studies suggest that better search capabilities, such as the exploitation of annotated data, are needed to keep online shopping transparent for the user. Annotations can, for example, help present information from multiple sources in a uniform manner. In order to support the product data integration process, the authors propose an algorithm that can autonomously map heterogeneous product taxonomies from different online shops.

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