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User Search Personalization in Semantic Web Mining

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Author(s): T.Venkata Ramana , Dr.K.Venugopala Rao

Journal: International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
ISSN 2278-1323

Volume: 1;
Issue: 3;
Start page: 034;
Date: 2012;
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Keywords: Web personalization | Web usage mining | user profiling | Semantic Web Minig | Personalized Recommendation | WWW

ABSTRACT
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 behaviour (usage data) in correlation with other information collected in the Web 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. To provide personalized support in on-line course resources system, a semantic web-based personalized learning service is proposed to enhance the learner's learning efficiency. When a personalization system relies solely on usage-based results, however, valuable information conceptually related to what is finally recommended may be missed. Moreover, the structural properties of the web site are often disregarded. In the first part of our Paper, we present a personalize Web search system, which can helps users to get the relevant web pages based on their selection from the domain list. In the second part of our work we present Semantic Web Personalization, a personalization system that integrates usage data with content semantics, expressed in ontology terms, in order to compute semantically enhanced navigational patterns and effectively generate useful recommendations. To the best of our knowledge, our proposed technique is the only semantic web personalization system that may be used by non-semantic web sites. In the part of our work, we present a novel approach for enhancing the quality of recommendations based on the underlying structure of a web site. We introduce UPR (Usage-based Page Rank), a Page Rank style algorithm that relies on the recorded usage data and link analysis techniques based on user interested domains and user query.
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