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Domain-Specific Web Search with Keyword Spices
January 2004 (vol. 16 no. 1)
pp. 17-27

Abstract—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.

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Index Terms:
Domain-specific Web search, query modification, decision tree, information retrieval, machine learning.
Citation:
Satoshi Oyama, Takashi Kokubo, Toru Ishida, "Domain-Specific Web Search with Keyword Spices," IEEE Transactions on Knowledge and Data Engineering, vol. 16, no. 1, pp. 17-27, Jan. 2004, doi:10.1109/TKDE.2004.1264819
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