PERSONALIZED RECOMMENDATION SYSTEM FOR ENHANCED WEB SEARCH

Authors

  • Mrs.Therasa M Assistant Professor, Department of Computer Science and Engineering, Panimalar Institute of Technology, Chennai – Tamilnadu, India
  • Mr.Hari Krishnan K A UG Scholar, Department of Computer Science and Engineering, Panimalar Institute of Technology, Chennai - Tamilnadu, India
  • Mr.Kovarthanan R UG Scholar, Department of Computer Science and Engineering, Panimalar Institute of Technology, Chennai – Tamilnadu, India
  • Mr.Rakesh A R UG Scholar, Department of Computer Science and Engineering, Panimalar Institute of Technology, Chennai - Tamilnadu, India

Keywords:

Ontology, Semantic Network, Web Usage Mining (WUM), Conceptual Prediction Model, Stemming Algorithm

Abstract

The undertaken project proposes a novel strategy to proficiently give better Web-page suggestion
through semantic improvement by coordinating the domain and Web utilization knowledge of a website. Two new
models are proposed to speak to the domain knowledge. The principal show utilizes ontology to represent the
domain knowledge. The second model uses one automatically produced semantic system to speak to domain
terms, Web-pages and the relations between them. Another new model, the conceptual prediction model, is
proposed to naturally create a semantic system of the semantic Web use knowledge, which is the joining of
domain knowledge and Web utilization knowledge. Various powerful inquiries have been produced to inquiry
about these knowledge bases.

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Published

2018-03-25

How to Cite

Mrs.Therasa M, Mr.Hari Krishnan K A, Mr.Kovarthanan R, & Mr.Rakesh A R. (2018). PERSONALIZED RECOMMENDATION SYSTEM FOR ENHANCED WEB SEARCH. International Journal of Advance Research in Engineering, Science & Technology, 5(3), 439–445. Retrieved from https://ijarest.org/index.php/ijarest/article/view/1231

Issue

Vol. 5 No. 3 (2018): Volume: 05, Issue: 03 - March, 2018.

Section

Articles