TY - JOUR
T1 - Domain-Specific Web Search with Keyword Spices
AU - Oyama, Satoshi
AU - Kokubo, Takashi
AU - Ishida, Toru
N1 - Funding Information:
This research was partially supported by the Laboratories of Image Information Science and Technology and by the Ministry of Education, Science, Sports, and Culture, Grant-in-Aid for Scientific Research(A), 11358004, 1999-2001.
PY - 2004/1
Y1 - 2004/1
N2 - 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.
AB - 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.
KW - Decision tree
KW - Domain-specific Web search
KW - Information retrieval
KW - Machine learning
KW - Query modification
UR - http://www.scopus.com/inward/record.url?scp=0742286173&partnerID=8YFLogxK
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U2 - 10.1109/TKDE.2004.1264819
DO - 10.1109/TKDE.2004.1264819
M3 - Article
AN - SCOPUS:0742286173
SN - 1041-4347
VL - 16
SP - 17
EP - 27
JO - IEEE Transactions on Knowledge and Data Engineering
JF - IEEE Transactions on Knowledge and Data Engineering
IS - 1
ER -