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Title:
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CATEGORY-BASED RANKING OF FEDERATED PRODUCT OFFERS |
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Author(s):
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Maximilian Walther , Daniel Schuster , Till Juchheim , Alexander Schill |
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ISBN:
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978-972-8924-93-5 |
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Editors:
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Pedro Isaías, Bebo White and Miguel Baptista Nunes |
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Year:
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2009 |
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Edition:
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1 |
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Keywords:
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Information Retrieval, Information Federation, Semantic Web, Information Extraction |
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Type:
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Full Paper |
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First Page:
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181 |
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Last Page:
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188 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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During the last years the World Wide Web has become one of the central sites for consumer product search. Due to the
wide range of online malls offering products from different categories in heterogeneous ways, finding the most adequate
product is a time-consuming process. Our current research work proposes mechanisms for the federated ranking of such
search results. The developed algorithms are able to automatically classify vendors regarding different product areas,
categorize consumers search queries and consequently only request information from relevant sources. Based on the
previous calculations, product hits are ranked and presented to the user. Evaluations show the feasibility of the approach. |
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