Huicong eyes search engine supremacy
UPDATED AT 7:32 PM EDT Saturday, Aug. 23, 2003
By CNETAsia Staff
CNET
A Chinese software company has announced a campaign to beat U.S.-based search engine giant Google.
Huicong International Software's search tool, which covers 200-million Chinese-language Web pages, has incorporated topic categorization, content analysis and China-region recognition into its engine, according to the company.
A unique feature is the ability of the tool to suggest corrections to incorrectly spelled pinyin, a method of using the Western alphabet for Chinese script.
Also, the tool can search MP3s, pictures and Flash animations, claimed Chen Pei, Huicong's CEO.
"Huicong will devote itself to the research and development of Chinese search engines to realize the dream of China's own Google," said Chen.
The company is part of the 300 or so Web portals that make up the China Search Alliance, a group that aims to challenge global search giants such as Google.
Meanwhile, another China search engine, 3721 Technology, plans to expand overseas. The Beijing-based on-line search company, which reaches about 60-million Web users has considered a listing in Hong Kong, Singapore or New York, company CEO Zhou Hongyi, said in a report.
The company forged a deal to embed its search service in Microsoft's Internet browser software released in China last year, that enabled its users type only a few Chinese characters directly into the browser address line to find information.
Thanks the Chinese text auto-completion feature, Zhou said in a report, it is unnecessary for search users with poor English to remember Web addresses for Google and Sina sites.
Hypertext document retrieval system and method
Li; Yanhong (Scotch Plains, NJ) / July 6, 1999
Abstract
A search engine for retrieving documents pertinent to a query indexes documents in accordance with hyperlinks pointing to those documents. The indexer traverses the hypertext database and finds hypertext information including the address of the document the hyperlinks point to and the anchor text of each hyperlink. The information is stored in an inverted index file, which may also be used to calculate document link vectors for each hyperlink pointing to a particular document. When a query is entered, the search engine finds all document vectors for documents having the query terms in their anchor text. A query vector is also calculated, and the dot product of the query vector and each document link vector is calculated. The dot products relating to a particular document are summed to determine the relevance ranking for each document.
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