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Issue No.01 - January (2004 vol.16)
pp: 17-27
<p><b>Abstract</b>—Domain-specific Web search engines are effective tools for reducing the difficulty experienced when acquiring information from the Web. Existing methods for building domain-specific Web search engines require human expertise or specific facilities. However, we can build a domain-specific search engine simply by adding domain-specific keywords, called “keyword spices,” to the user's input query and forwarding it to a general-purpose Web search engine. Keyword spices can be effectively discovered from Web documents using machine learning technologies. This paper will describe domain-specific Web search engines that use keyword spices for locating recipes, restaurants, and used cars.</p>
Domain-specific Web search, query modification, decision tree, information retrieval, machine learning.
Satoshi Oyama, Takashi Kokubo, Toru Ishida, "Domain-Specific Web Search with Keyword Spices", IEEE Transactions on Knowledge & Data Engineering, vol.16, no. 1, pp. 17-27, January 2004, doi:10.1109/TKDE.2004.1264819
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