The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.12 - December (2006 vol.39)
pp: 16-18
ABSTRACT
There is a need for better approaches to handle the huge amount of data on the rapidly growing number of Web pages. And offering search engines that are either more effective or that conduct new types of searches could mean considerable income for companies. Because of this, several businesses are exploring the use of artificial intelligence approaches such as natural-language processing (NLP) and statistical machine learning in Web searches. Besides making the technology more effective for use within a single body of knowledge, artificial intelligence would enable search engines to respond to natural-language queries rather than only keyword-based queries.
INDEX TERMS
search engines, information retrieval, Internet, learning (artificial intelligence), natural language processing, information retrieval, Web page, Web search engine, artificial intelligence, natural-language processing, statistical machine learning, Web search, Artificial intelligence, Search engines, Medical services, Text categorization, Companies, Expert systems, Humans, Medical expert systems, Data mining, Riya, Web searches, Powerset, Medstory
CITATION
S.J. Vaughan-Nichols, "Researchers make web searches more intelligent", Computer, vol.39, no. 12, pp. 16-18, December 2006, doi:10.1109/MC.2006.439
5 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool