Title :
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
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;
Conference_Titel :
Computer Engineering and Technology, 2009. ICCET '09. International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-3334-6
DOI :
10.1109/ICCET.2009.145
