ONTOLOGY BASED PERSONALIZATION FOR WEB SEARCH IN DATA MINING

Abstract

Web usage mining is the kind of data mining application to extract the knowledge from the web.Nowadays
the internet growing lots of web pages which is developed. The most important researcher is focused on web based model.
Web Personalization is one of the areas of the Web usage mining that can be used to deliver the dynamic content to the
particular user or segments of users. The goal of web personalization using web usage mining is to identify interesting
patterns from web usage data and recommend objects to the user which consists of products, text, links and so forth. In this
paper, web personalization process which is focused on user profiling based on ontology. This model providesinterest score
which is based on their user’s interestand it can achieve more accurate personalization.