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Entwining Structure into Web Search

In web search today, a user types a few keywords and gets back links to web pages consisting of unstructured data. This leaves a lot to be desired for when there is structure data stores that can provide more relevant results for such queries. With our work, we aim to analyze the web query and extract structured semantics, map it to the corresponding structured data sources, and modify the web ranking functions to incorporate the results from the structured data. These techniques are general and are applicable to diverse domains, such as shopping, movies, autos, and travel. In fact we have created a collaboration with our search engine product team and part of our work is already included in live search.

Page Last Updated: 1 May 2009

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