A Personalized Searching Technology for 3G Based on Subject-Words Customizing Model

Author

Guo Shuhang

Author_Institution

E-Commerce Dept., Central Univ. of Finance & Econ., Beijing, China

fYear

2009

fDate

11-13 Dec. 2009

Firstpage

1

Lastpage

4

Abstract

To improve the mobile searching efficiency in 3G mobile telephones, a personalized searching technology based on subject-word customizing model is presented, which is focused on the semantic association among subject words. First, a knowledge bases describing model about subject-word according to ontology is proposed. Second, the article researches to use the meanings of subject words to match combined and extended. Finally, the article builds the examples of subject-word knowledge bases, and then develops the original form of customizing searching system. Experimental results show that the model highly improves the recall ratio and the expansion of searching strategy. Also, the used space in the 3G mobile phones is been greatly saved compared with using professional searching engine.

Keywords

3G mobile communication; data mining; information retrieval; knowledge based systems; ontologies (artificial intelligence); 3G mobile telephone; mobile searching efficiency; ontology; personalized searching technology; semantic association; subject-word knowledge bases; subject-words customizing model; Electronic mail; Finance; Internet; Mobile handsets; Ontologies; Paper technology; Search engines; Sorting; Space technology; Telephony;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-4507-3

Electronic_ISBN

978-1-4244-4507-3

Type

conf

DOI

10.1109/CISE.2009.5366363

Filename

5366363