Personalized Mobile Search Engine With Multiple Preference

1,2,3,4 Abstract: Data mining is a system employing for more computer learning technique to automatically analyze and extracting knowledge from data stored in the database. The goal of data mining is to extract hidden predictive information from database. This paper make use of data mining concept for collecting user's multiple preference from clickthrough data. The collecting user preference is based on the content and the location concepts. In existing system, RSVM algorithm do not perform re-ranking for multiple preference. To overcome this drawback, the proposed work is based on PRRA algorithm. This algorithm is used to find the shortest path which help us to get a better result. PMSE concentrate more about privacy which based on user as well as location by leveraging the amount of content. To characterize the diversity of the concepts associated with a query and their relevance's to the user's need, four entropies are introduced to balance the weights between the content and location facets (11).