Students search interest model over an organisation based on web log data
by A.R. Sivakumaran; P. Marikkannu
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 13, No. 1/2/3, 2018

Abstract: Browsing information through web has become part and parcel of life. There is hardly any user who does not browse through web. Generally, any user when in search for content only looks at the top ten pages that get displayed in the web search. Therefore, it has been proposed that the information such as the link that is created between both visited and unvisited web pages along with the path that is chosen in the search query needs a novel technique to give the best performance. The operation feature matrix (OFM) is used as one of the novel functionalities that have been used for extracting the data from the web. The automatically identified user profile is the graph-based that is called as the modified page outlook (MPO) graph was proposed that involves a link between the visited and the unvisited web pages.

Online publication date: Thu, 07-Dec-2017

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Business Intelligence and Data Mining (IJBIDM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com