Efficient Approach for Web Search Personalization in User Behavior Supported Web Server Log Files Using Web Usage Mining

Authors

  • A Swapna  Department of Computer Science and Engineering, Sri Indu College of Engineering and Technology, JNTU Hyderabad, Hyderabad, India
  • K Gurnadha Guptha  Department of Computer Science and Engineering, Sri Indu College of Engineering and Technology, JNTU Hyderabad, Hyderabad, India
  • K Geetha  Department of Computer Science and Engineering, Sri Indu College of Engineering and Technology, JNTU Hyderabad, Hyderabad, India

Keywords:

Web Usage mining; Web Intelligence; Web Personalization; log files ;Apriori algorithm; Web Log Cleaning Algorithm; Sessionization Algorithm.

Abstract

In the present word web is the colossal capacity of data and it will continue expanding with the developing of web innovations. However, the person ability to peruse, get to and comprehend content does not increment with that string. Henceforth it ends up plainly complex to site proprietors to introduce appropriate data to the clients. This prompted give customized web administrations to clients. One of the notable methodologies in giving web personalization is Web Usage Mining. In this paper, our thought process of web use mining is to find clients' get to examples of site pages naturally and rapidly from the immense server get to log records, for example, often went to hyperlinks, much of the time got to site pages and clients gathering. Likewise, we proposed another strategy for finding clients' get to designs and prescribe it to the client.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-08-31

Issue

Volume 2, Issue 4, July-August-2017

Section

Research Articles

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How to Cite

[1]
A Swapna, K Gurnadha Guptha, K Geetha, " Efficient Approach for Web Search Personalization in User Behavior Supported Web Server Log Files Using Web Usage Mining, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 4, pp.189-196, July-August-2017.