Search Engine Optimization Based on Algorithm of BP Neural Networks

Every user has a distinct background and a specific goal when searching for information on the Web. The goal of Web search personalization is to tailor search results to a particular user based on that user´s interests and preferences. This paper presents an approach of search engine optimization based on algorithm of BP neural networks aiming at meeting the increasing requirements of modern people to Internet information retrieval. The method makes the search engine more intelligent and personalized, which strives for providing optimum retrieval result to the users.