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Erschienen in:
2014 | OriginalPaper | Buchkapitel
Measuring and Mitigating Product Data Inaccuracy in Online Retailing
verfasst von : Runhua Xu, Alexander Ilic
Erschienen in: Web Information Systems Engineering – WISE 2014
Verlag: Springer International Publishing
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Driven by the proliferation of Smartphones and e-Commerce, consumers rely more on online product information to make purchasing decisions. Beyond price comparisons, consumers want to know more about feature differences of similar products. However, these comparisons require rich and accurate product data. As one of the first studies, we quantify how accurate online product data is today and evaluate existing approaches of mitigating inaccuracy. The result shows that the accuracy varies a lot across different Web sites and can be as low as 20%. However, when aggregating product information across different Web pages, the accuracy can be improved on average by 11.3%. Based on the analysis, we propose an attribute-based authentication approach based on Semantic Web to further mitigate online data inaccuracy.