Computation Load Sharing of Personalized Mobile Search Engine

Ujvala Patil
unpublished
Number of information available on web is expanding day to day. People frequently search web for their various information needs, using search engines. In the mobile technology the recent advancements is boosted searching and browsing tasks on mobile. Withal, the uncertainty in queries and presence of noise hampers the performance of traditional search engines. They provide identical results to all users, regardless of their context. Thus users needs extra effort and time for getting relevant
more » ... sults. In addition to this, the constraints correlated with mobile devices of new challenges for mobile search. A framework, include user preferences has been proposed for mobile search engine personalization in this research. The focus is on using social context access from users click through data, social networks to filter search queries. Initially a system will be developed and studied that determine the effectiveness of integrating this type of context when conducting mobile search. The system shall appropriate and analyze user queries issued on mobile devices to determine the degree by which social context used reformulate the queries by providing relevant context and then finally arrange the results to match user needs.
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