期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：4
页码：5553-5559
出版社：TechScience Publications
摘要：We propose a Optimized Personal Search Engine for mobile , that takes the users’ preferences and data in the form of concepts by analyzing their click through data. I give the importance of location information in mobile search, so my Optimized Personal Search Engine classifies these concepts like content concepts and location concepts. In addition, users locations (positioned by GPS) are used to give the location concepts in Optimized Personal Search Engine . The user preferences are organized in an ontology-based and the multi-facet user profile is used to adapt a personalized ranking function for rank adaptation of future search results. To characterize the concepts associated with a query and their relevance’s to the users need and four entropies are introduced to balance the weights between the content and location facets. Based on the client-server model, i also present a detailed architecture and design for implementation of Optimized Personal Search Engine. In our design, the client collects and stores locally the click through data and to protect privacy such as heavy tasks such as concept extraction, training and reran king are performed at the Optimized Personal Search Engine server. Moreover, I address the privacy issue by restricting the information in the user profile exposed to the Optimized Personal Search Engine server with two privacy parameters. We prototype Optimized Personal Search Engine on the Google Android platform. Experimental results show that Optimized Personal Search Engine significantly improves the precision comparing to the baseline
关键词：Optimized mobile Search Engine; mobile; Client-;Server Model; location and content based
