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.
|ジャーナル||IEEE Transactions on Knowledge and Data Engineering|
|出版物ステータス||Published - 2004 1 1|
ASJC Scopus subject areas
- Information Systems
- Computer Science Applications
- Computational Theory and Mathematics