A Personalized Mobile Search Engine Using Ontology

Abstract

A customized versatile web index (PMSE) is proposed here that catches the clients' inclinations as ideas by mining their clickthrough information. Because of the significance of area data in portable pursuit, PMSE characterizes these ideas into content ideas and area ideas. What's more, clients' areas (situated by GPS) are utilized to supplement the area ideas in PMSE. The client inclinations are composed in a philosophy based multifaceted client profile which are utilized to adjust a customized positioning capacity for rank adjustment of future indexed lists. To portray the decent variety of the ideas related with an inquiry and their pertinent relationships to the client's need, four entropies are acquainted with adjusting the weights between the substance and area aspects. In view of the customer, server shows a point by point engineering and plan for usage of PMSE. In this outline, the customer gathers and stores locally the clickthrough information to ensure protection, though substantial assignments, for example,
idea extraction, preparing, and reranking are performed at the PMSE server. In addition, it is tended to the protection issue by limiting the data in the client profile presented to the PMSE server with two security parameters. A model PMSE on the Google Android stage is appeared. Trial comes about to demonstrate that PMSE essentially enhances the exactness contrasting
with the standard.

Cite this Article
Shende Sharayu D, Deshpande Bhushan A. A Personalized Mobile Search Engine
Using Ontology. Journal of Computer Technology & Applications. 2017; 8(3):
1–33p.