Абстрактный

Enhanced Personalized Mobile Search Engine towards Secured Data Analysis

M.Mahalakshmi, R.Deepak, Dr.R.Nedunchelian

PMSE, Personalized Mobile Search Engine has been developed to display any user desired result or reranked result in accordance with the user given query (UGQ) which includes content and the location of the user. It works efficiently with the help of ontology-based, multi user profile. User preferences are framed based on the clickthrough data, ARM ( Association rule mining ) and Joachims proposed techniques such as spying technique and novel voting method. Query processing is another important aspect which is been supervised by content ontology agent and location ontology agent, query typed (geo or non-geo) and users��? location (using GPS) respectively. Re-ranked list is prepared after analysing the diversity-relevance entropies. Like the web search performance, enhanced PMSE also has appeasing users expectation. EPMSE is a client- server model. Client captures the user��?s query ,conveyes the needs of the server and displays the re-ranked result. Server performs the search action and prepares the desired output. EPMSE does meta search on engines such as Google, Yahoo.