• DocumentCode
    884500
  • Title

    Domain-specific Web search with keyword spices

  • Author

    Oyama, Satoshi ; Kokubo, Takashi ; Ishida, Toru

  • Author_Institution
    Dept. of Social Informatics, Kyoto Univ., Japan
  • Volume
    16
  • Issue
    1
  • fYear
    2004
  • Firstpage
    17
  • Lastpage
    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. The paper describes domain-specific Web search engines that use keyword spices for locating recipes, restaurants, and used cars.
  • Keywords
    Internet; information retrieval; learning (artificial intelligence); search engines; text analysis; Web documents; Web search engines; domain-specific Web search; domain-specific keywords; general-purpose Web search engine; input query; keyword spices; machine learning technologies; recipes; restaurants; used cars; Computer science; Crawlers; Decision trees; Filtering; Filters; Humans; Machine learning; SPICE; Search engines; Web search;
  • fLanguage
    English
  • Journal_Title
    Knowledge and Data Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1041-4347
  • Type

    jour

  • DOI
    10.1109/TKDE.2004.1264819
  • Filename
    1264819