2014
DOI: 10.1007/978-3-319-07881-6_39
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Extracting Facets from Lost Fine-Grained Categorizations in Dataspaces

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Cited by 2 publications
(5 citation statements)
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“…Automatic methods that define new facets are helpful for the long tail of product categories. We have developed an automatic facet extraction algorithm [24] for a leading CSP in Italy, which could be used for platforms like Amazon or AliBaba, which have millions of users worldwide. Given a product category, our algorithm finds clusters of homogeneous values, each one corresponding to one facet.…”
Section: Motivating Scenariomentioning
confidence: 99%
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“…Automatic methods that define new facets are helpful for the long tail of product categories. We have developed an automatic facet extraction algorithm [24] for a leading CSP in Italy, which could be used for platforms like Amazon or AliBaba, which have millions of users worldwide. Given a product category, our algorithm finds clusters of homogeneous values, each one corresponding to one facet.…”
Section: Motivating Scenariomentioning
confidence: 99%
“…A considerable amount of information published on the web, for example in eCommerce, is accessible through faceted interfaces, which let users filter query results and explore the information space [7,8,12,24,39]. Figure 1 shows an example of the Amazon user interface to filter books using the property values for author ({MiaSheridan, LaurannDohner , .…”
Section: Introductionmentioning
confidence: 99%
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