Abstract
In this paper, we study the appropriateness of adaptive faceted search as a search paradigm for e-commerce on the Web of Data. We provide preliminary evidence that the product space in a sample dataset narrows down logarithmically by the number of product features used in a query, and show that the usability of an adaptive, instance-driven faceted search interface is comparable to approaches with hard-wired product features, while improving the depth of product search and comparison.
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Stolz, A., Hepp, M. (2015). Adaptive Faceted Search for Product Comparison on the Web of Data. In: Cimiano, P., Frasincar, F., Houben, GJ., Schwabe, D. (eds) Engineering the Web in the Big Data Era. ICWE 2015. Lecture Notes in Computer Science(), vol 9114. Springer, Cham. https://doi.org/10.1007/978-3-319-19890-3_27
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DOI: https://doi.org/10.1007/978-3-319-19890-3_27
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