Domain-Specific Web Search with Keyword Spices

Satoshi Oyama*, Takashi Kokubo, Toru Ishida

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

84 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)17-27
Number of pages11
JournalIEEE Transactions on Knowledge and Data Engineering
Issue number1
Publication statusPublished - 2004 Jan
Externally publishedYes


  • Decision tree
  • Domain-specific Web search
  • Information retrieval
  • Machine learning
  • Query modification

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Computational Theory and Mathematics


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