An Intelligent Web System by Integrating Domain and Web Usage Knowledge
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2015, Vol 3, Issue 3
Abstract
The growth of the web has created a big challenge for directing the user to the Web pages in their areas of interest. This paper proposes a method to provide better web page recommendation through semantic- enhancement by integrating domain and web usage knowledge. Recommendations for Web pages were not introduced in the existing system whereas in proposal system it is being implemented and enhanced. Two new models are used to enhance the page recommendation, one is ontology based model and other is semantic network. Pre-Order Linked WAP-Tree Mining (PLWAP-Mine) algorithm is used to discover web usage knowledge resulting in frequently viewed term patterns. Another new model called conceptual prediction model is purposed to automatically generate the frequently viewed terms. The “newpage problem” is over-comed in this proposed system. It produces significantly higher performance than the advanced Web Usage Mining (WUM) method.
Authors and Affiliations
Sangeetha B, Saranya A, Revathi K
Keywords
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- EP ID EP19837
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