Improvement and Optimization of HITS in Web Mining

Article Preview

Abstract:

This paper combines text and link analysis together, analyzes every single page’s recent reference amplification, proposes a mixed weight HITS algorithm. From the comparison we can see, the results of the improved algorithm effectively restrains the topic deviation phenomenon and efficiently increases the search veracity.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

728-734

Citation:

Online since:

February 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Lempei, R., Moran, S. The stochastic approach for link-structure analysis (SALSA) and the TKC effect. The 9th International World Wide Web Conferences (WWW9/Computer Networks), 2000, 33(1-6): 387-401 (reference).

DOI: 10.1016/s1389-1286(00)00034-7

Google Scholar

[2] FAN Cong-xian, XU Ting-rong, FAN Qiang-xian. Research and Improvement Algorithm of HITS Based on Web Structure Mining[J]. Data Warehouse, 1008-0570(2010)01-3-0160-03.

Google Scholar

[3] Madria SK, et al. Research issues in Web data Mining. Data Warehousing and Wlege discovery, First DaWak'99, 1999. 303-312.

Google Scholar

[4] GUO-Hong, ZHOU-Ya. Improvement of HITS algorithm in Web Structure Mining[M]. Technique and Method. (2009).

Google Scholar

[5] Gevrey J, Ruger S. Link-based approaches for text Retrieval Proceeding of TREC-10, NIST[M]. NIST Special Publication, (2002).

Google Scholar

[6] http: /www. google. hk. com.

Google Scholar

[7] DUAN Huai-chuan, HU Ping. Improved PageRank algorithm based on topic character and time factor [J]. Computer Engineering and Design. 2010, 31(4): 866-868.

Google Scholar