Onto-search: An ontology based personalized mobile search engine

Web search is a frequent activity on Internet connected devices, but it 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. 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. Heavy tasks such as training, re ranking are done on the server. 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.