Ontology based Personalized Mobile Search Engine

Abstract

Web search is a frequent activity on Internet connected devices, yet web search
is still a nuisance when user is using a mobile device, due to their default keypad and small
screen, and that search results could be mostly irrelevant for the user needs given its
mobile context. User needs an efficient way to introduce query terms and receive more
precise information. In this paper, we propose a new web search personalization approach
that captures the user's interests and preferences in the form of concepts by mining search
results and their click through. Onto-Search is based on a client server model. Server
performs heavy tasks such as training, re ranking, To preserve privacy only the feature
vectors is passed to the server. Location information is also taken into consideration. In
addition gps locations help in reinforcing search results. Finally, based on the derived
ontology SVM is used for re-ranking of future search results