A Survey On Various Approaches For Webpage Recommendation System In Web Mining

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ISSN: 2349-6002 ESTD Year: 2014

UGC approved journal no 47859

A Survey On Various Approaches For Webpage Recommendation System In Web Mining
Author(s):
Darshan K Prajapati, Dr. Shyamal Tanna
Keywords:
Recommendation, Webpage Recommendation, Clickstream Data, Pattern Recongnizatioin, Web Usage Mining
Abstract
Web mining is the application of data mining on web data and web usage mining is an important component of web mining. The goal of web usage mining is to understand the behavior of web site users through the process of data mining of web access data. Knowledge obtained from web usage mining can be used to enhance web design, introduce personalization service and facilitate more effective browsing. Webpage Recommender systems are intelligent systems which make suggestions about user’s next webpage. Many of the largest Web sites are already using recommender systems to help their customers find a next webpage. Recommender system has become an important part of any entertainment or E-Commerce website. Various personal services in business play important roles in the success of current marketing field. This paper presents a review of literature containing latest works done in this field
Article Details
Unique Paper ID: 143171 Publication Volume & Issue: Volume 2, Issue 7 Page(s): 498 - 502
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