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
Link To Document