UM
Generative method for query recommendations of search engines with respect to the traditional Chinese medicine industry
Cai Y.1,2,3; Li M.1; Hu H.2,3; Ni Y.H.1; Cheng N.H.1
2014
Conference Name3rd International Conference on Advanced Engineering Materials and Architecture Science (ICAEMAS)
Source PublicationApplied Mechanics and Materials
Volume651-653
Pages1580-1585
Conference DateJUL 26-27, 2014
Conference PlaceHuhhot, PEOPLES R CHINA
Abstract

The Traditional Chinese Medicine(TCM) industry is a traditional industry of China. A unique, comprehensive and systematic theory and method of diagnosis and treatment has been formed over thousands of years. A large amount of TCM literature and database resources need to be shared via the Internet for queries by professionals and A unique TCM-industry search engine has been developed to comply with such requirements. A new method for generating query recommendations according to the enquiry is proposed based on features of the TCM industry, on the authors’ experience and on learning from the enactment and development of the vertical search engine of the TCM industry. Different from methods used by other search engines such as Google, Yahoo or Baidu, the new method combines the features of the TCM-industry search engine and the Chinese word segmentation of the TCM industry. It uses algorithms to calculate the correlation between query recommendations and stores these in relationship database. Practice indicates that such a method generates accurate and industry-specific query recommendations promptly.It therefore has innovation and promotional value.

KeywordChinese Word Segmentation Query Recommendation Traditional Chinese Medicine Industry Vertical Search Engine Web Page Weight
DOI10.4028/www.scientific.net/AMM.651-653.1580
URLView the original
Indexed BySCI
Language英语
WOS Research AreaConstruction & Building Technology ; Materials Science ; Engineering
WOS SubjectConstruction & Building Technology ; Engineering, Civil ; Engineering, Mechanical ; Materials Science, Multidisciplinary
WOS IDWOS:000349617700331
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Citation statistics
Document TypeConference paper
CollectionUniversity of Macau
Affiliation1.Beijing Normal Univ, Informat Technol Coll, Zhuhai Campus, Zhuhai 519087, Peoples R China
2.Chinese Med Univ Macau, State Key Lab Qual Res, Macau, Peoples R China
3.University of Macau
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Cai Y.,Li M.,Hu H.,et al. Generative method for query recommendations of search engines with respect to the traditional Chinese medicine industry[C],2014:1580-1585.
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