Study and Survey of Available Pattern Matching Approach for Personalization of Web
Keywords:
Web personalization, websitesAbstract
Users' Web use logs are used to personalize websites depending on the information they provide. This information is gathered to analyze the content and structure of websites to find a solution to this issue. Depending on the user profile that is increasingly being built on the web pages or documents, the search engine may alter the efficiency of current tactics. An effective new online search based on individual categorization and clustering is presented in this research. Classification is the goal of this method. Semantic web search is moving in the direction of personalization for users who need to locate relevant information. Web personalization is classified and semantic search tools are examined in this article. Personalization necessitates the creation of an interesting profile for each user. As a result of the benefits that ontologies provide, many semantic web applications now employ them for personalization. Most semantic web search tools employ agent technology to achieve their features.
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