Call For Paper Volume:4 Issue:8 Aug'2017 |

A Comparative Study of Recommendation System Using Web Usage Mining

Publication Date : 30/11/2014



Author(s) :

Mr. D. C. Karthick Kumar , Mr. R. Lokesh Kumar , Dr. P. Sengottuvelan.


Volume/Issue :
Volume 1
,
Issue 5
(11 - 2014)



Abstract :

Web Mining is one of the Developing field in research. Exact custom of the Web is to get the beneficial material in the sites. To reduce the work time of user the Web Usage Mining (WUM) technique is introduced. In this Technique use Web Page recommendation for the Web request from the user. For the recommendation system in Web Usage Mining (WUM) variousauthor has introduce different Algorithm and technique to improve the user interest in surfing the Web. Web log files are used todefine the user interest and there next recommend page to view.The data stored in the web log file consist of large amount oferoded, incomplete, and unnecessary information. So, the Web log files have to preprocess, customize, and to clean the data. In this paper we will survey different recommendation technique to identify the issues in web surfing and to improve web usagemining (WUM) pre-processing for pattern mining and analysis.


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A Comparative Study of Recommendation System Using Web Usage Mining

December 4, 2014