A Survey on: Utilizing of Different Features in Web Behavior Prediction
Journal Title: The International Journal of Technological Exploration and Learning - Year 2016, Vol 5, Issue 2
Abstract
with the growing popularity of the World Wide Web, A large number of users uses web sites in the world. There are many technique which have been widely used to represent and analyze user‘s navigational behavior (usage data) in Web graph, using the transitional probabilities connect between web site pages, as recorded in the web client logs and web server side logs. The recorded users ‘navigation is used to extract popular web paths and predict current users ‘next steps. In this paper, the study of web features has been done which are acting as tool in different methods for next page prediction. It includes different web features such as web structure, web log, and web content.
Authors and Affiliations
Raj Kumar Agrawal| M. Tech Student, Department of CSE, TIT & Science Bhopal, India, Neetesh Gupta| Assistant Professor, Associate Professor* Department of CSE, TIT & Science Bhopal, India, Rajesh Nigam| Assistant Professor, Associate Professor* Department of CSE, TIT & Science Bhopal, India
Keywords
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