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WebMining for Web Personalization - ankita pandey - 10-04-2017

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Web Mining for Web Personalization

MAGDALINI EIRINAKI and MICHALIS VAZIRGIANNIS
Athens University of Economics and Business


Web personalization is the process of customizing a Web site to the needs of specific users, taking advantage of the knowledge acquired from the analysis of the user s navigational behavior (usage data) in correlation with other information collected in theWeb context, namely, structure, content, and user profile data. Due to the explosive growth of the Web, the domain of Web personalization has gained great momentum both in the research and commercial areas. In this article we present a survey of the use of Web mining for Web personalization. More specifically, we introduce the modules that comprise a Web personalization system, emphasizing the Web usage mining module. A review of the most common methods that are used as well as technical issues that occur is given, along with a brief overview of the most popular tools and applications available from software vendors. Moreover, the most important research initiatives in the Web usage mining and personalization areas are presented.


WebMining for Web Personalization - Milan M - 10-04-2017

to get information about the topic WEB MINING full report ,ppt and related topic refer the page link bellow

http://seminarsprojects.net/Thread-web-mining-full-seminars-report

http://seminarsprojects.net/Thread-web-mining

http://seminarsprojects.net/Thread-web-mining?page=2

http://seminarsprojects.net/Thread-web-mining?page=4

http://seminarsprojects.net/Thread-e-mine-a-novel-web-mining-approach

http://seminarsprojects.net/Thread-open-web-apis-in-teaching-web-mining

http://seminarsprojects.net/Thread-webmining-for-web-personalization

http://seminarsprojects.net/Thread-web-mining--24452

http://seminarsprojects.net/Thread-signed-approach-for-mining-web-content-outliers

http://seminarsprojects.net/Thread-web-mining?pid=65307

http://seminarsprojects.net/Thread-frequent-pattern-mining-in-web-log-data