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

Authors(3) :-A Swapna, K Gurnadha Guptha, K Geetha

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 2 | Issue 4 | July-August 2017
Date of Publication : 2017-08-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 189-196
Manuscript Number : CSEIT172442
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

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", International 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
URL : http://ijsrcseit.com/CSEIT172442

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