원문정보
보안공학연구지원센터(IJMUE)
International Journal of Multimedia and Ubiquitous Engineering
Vol.11 No.1
2016.01
pp.397-406
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
Based on in-depth analyzing the calculation of web pages relevance to the topic and prediction algorithm. A focus crawler which is based on thesaurus classification is proposed, the algorithm pre-judgment the relevance to the topic through the analysis of page title, the pages which have high priority to the topic are first crawled, and the precision rate is improved. Experiment results show that the precision rate by the crawler which is based on thesaurus classification is improved, and the web pages which are relative to topic is good determined
목차
Abstract
1. Introduction
2. Topic Description of Football Videos
3. Topic Relevancy Calculation of Webpage Contents
4. Design and Implementation of Football Video Topic Crawler Based on Library Classification
4.1 Design Idea
4.2 The Algorithm Flow
5. Experimental Analysis and Results
5.1 The Experimental Environment
5.2 Experimental Results of Topic Description
6. Conclusion
References
1. Introduction
2. Topic Description of Football Videos
3. Topic Relevancy Calculation of Webpage Contents
4. Design and Implementation of Football Video Topic Crawler Based on Library Classification
4.1 Design Idea
4.2 The Algorithm Flow
5. Experimental Analysis and Results
5.1 The Experimental Environment
5.2 Experimental Results of Topic Description
6. Conclusion
References
저자정보
참고문헌
자료제공 : 네이버학술정보