个性化搜索引擎隐私保护框架的研究与设计

Personalized search engine can search for records based on user information and to help users acquire knowledge and to improve the user experience, but at the same time personalized recommendations related to the user's sensitive information is unavoidable even personal privacy. So in need of a complete personalized recommendations for users at the same time take into account the privacy of search engine framework.This is the background, the key technology of personalized search engine recommendations and information access model to study as a basis for the design of personalized search engine privacy protection framework. Detailed analysis of the development of personalized search engine and recommendation technology and recommendation algorithms described in the search engine, and proposed a classification based on ODP secondary directory and search association rules recommended model; while improving the PageRank algorithm to make it more suitable for areas of web recommendation;, and will update the technology in collaborative recommendation association rules to improve the availability of updates to make it more efficient. Easy to extend this framework to provide a new approach to privacy protection design personalized search engine.