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 :
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