The Intelligent Search Technology Based On Latent Semantic Analysis

In recent years, the Internet is growing fast and it has already been a great dynamic information service network full of all kinds of information around the world, which provides users with a valuable source of information. Search engines offer us user-friendly search interfaces that can help people acquire useful information from huge data, which can save a lot of time for user's query.The vast majority of information on the Internet is saved in the form of the text. The exponential growth of text message has brought great challenges to the search engine technology. Due to multi-word synonyms, polysemy and other uncertainties that exist in natural language, the same concept can have many different patterns of expression. The traditional search engines based on keywords matching simply use keywords or keyword strings rather than the genuine concept which the users want to express. Thus, search engines need to develop into semantic level from keywords matching. Recognizing and dealing user'query intelligently in search engine technology have come into focus.This paper gives research on document processing, query processing and the final match of information processing in search engines combined latent semantic analysis technique from the f view of intelligent search modeling. On this basis, word weight values in the latent semantic space are analyzed and improved in the probabilistic sense, so it can better reflect the semantic relations between words and documents. Next, User'queries are expanded to complement the lack of information which the users give or mismatch between users'words and index vocabulary. In addition, second search strategy was proposed in the paper to enhance the search results to be closer to user requirements when users not satisfied with their first result. In the end, the intelligent searching system based on Latent Semantic Analysis was designed and implemented, which can apperceive users'intension to some extent and get a higher rate of accuracy and precision.