Earticle

초록

영어

With the different query the different retrieval results will be got. According to the viewpoint of each user has different query need, a method that can adapt user automatically are proposed in information retrieval. To detect the information demands of users from multilanguage electronic text, the method analyzed the keywords used on information retrieval and gathered those keywords, summarized the relationship between keywords, selected accuracy word to word translation, deal with ambiguity of words to build reference information by learning and feedback process. The retrieval system is able to auto-adapt retrieval demand of different users by renewing reference information. Evaluation experiment results indicate the trend of adapting user and the availability of the method.

목차

Abstract
 1. Introduction
 2. Outline of the Method
  2.1. Morphological Analysis
  2.2. Translation Processing
  2.3. Retrieval Processing
  2.4. Feedback Processing
  2.5. Learning Processing
  2.6. Preliminary Experiment
 3. Experiments and Evaluation
  3.1. Data Collection
  3.2. Experiment Procedure
  3.3. Experiment Evaluation Method
  3.4. Experiment Results
 4. Discussion
 5. Conclusion
 Acknowledgements
 References

키워드

저자

• Zhongjian Wang [ Harbin University of Commerce, Harbin 150028, China, Harbin Far East Institute of Technology, Harbin 150025, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605