To Construct Implicit Link Structure by Using Frequent Sequence Miner (FS-Miner)

Author

Aung, May Thu ; Tun, Khin Nwe Ni

Author_Institution

Univ. of Comput. Studies, Yangon

Volume

1

fYear

2009

fDate

22-24 Jan. 2009

Firstpage

549

Lastpage

553

Abstract

Generally, link analysis is based re-ranking Web-page retrieval in current Web search engine. The primary reason lies in the difference of link structures and data scale between global Web and Web site. In this paper, we propose a framework to construct implicit link structure by using frequent sequence miner (FS-Miner) in the user Web log. And then, the page rank algorithm is applied to re-ranked Web Pages. The popular Web paths are used to extract in userpsilas navigation Web log and predict current userpsilas next step. Our system can solve the sparsity of Web links and the diversity problem of userpsilas access behavior. Moreover, our approach discovers userspsila relevant documents to improve the performance of search results.

Keywords

Web sites; data mining; information retrieval; search engines; Web search engine; Web site; Web-page retrieval; frequent sequence miner; link structure analysis; page rank algorithm; re-ranking mechanism; user Web log; Algorithm design and analysis; Association rules; Clustering algorithms; Data mining; Databases; Navigation; Search engines; Web mining; Web pages; Web search; Frequent Patterns; Incremental Mining; Link Analysis; Log Mining; Sequence Mining; Web Logs; Web Usage Mining;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering and Technology, 2009. ICCET '09. International Conference on

Conference_Location

Singapore

Print_ISBN

978-1-4244-3334-6

Type

conf

DOI

10.1109/ICCET.2009.145

Filename

4769527