The World Wide Web caters to the needs of billions of users in heterogeneousgroups. Each user accessing the World Wide Web might have his / her ownspecific interest and would expect the web to respond to the specificrequirements. The process of making the web to react in a customized manner isachieved through personalization. This paper proposes a novel model forextracting keywords from a web page with personalization being incorporatedinto it. The keyword extraction problem is approached with the help of web pagesegmentation which facilitates in making the problem simpler and solving iteffectively. The proposed model is implemented as a prototype and theexperiments conducted on it empirically validate the model's efficiency.
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