Personalized Website Search Engine Design And Application

With the development and acceleration of information technology and in-depth, more and more the emergence of e-commerce sites become a new trend, and with the increasing scale of such a site, the site is also increasingly amount of data. The more users in the data resulted in their own interest and satisfaction to find information on the more difficult. Thus, the demand for people to retrieve information not only satisfied with general search engines, specific areas need to design customized search engines.This paper studies used in barter transactions personalized website Search engine-related technologies and methods, such barter site features registered users are business users with industry background. Search engine for users of the need for personalized service, the author describes a personalized website search engine design and application:Using implicit and explicit method combination to collect user information, Explicitly reflected in the collection of registration of registered users based on the enterprise's industry background information related to term weight calculation; collected implicitly reflected in the use of Ajax technology to track user behavior to collect information, establish the user's history information is used to store user personal interest information profile. Key words and documents in the calculation of correlation, the vector space model for improvement in the user personalized information calculated on the basis of documents and documents keyword relevance, making the results more in line with actual needs of users and improve the system of commodity turnover. By analyzing the domestic and international work on personalized search engine, the original basis in the Lucene sorting algorithm combines the ideas PageRank algorithm and personalized based on user keyword weight calculation, this paper presents a practical application is more suitable for the individual sorting algorithm, the feedback to the user meet the needs of the users, improving the degree of user's satisfaction and experience in the personalized website search engine.Finally, the Eclipse development platform, combined with several open source API, to achieve a personalized website search engine design and application. To make the system more friendly interface, faster access speed, the system interface design using new technologies-Ajax. On the general search engine and by comparing the personalized search engine experiment proves a personalized search engine ranking calculation matching degree and higher precision. Also analyze the possible problems, and that the future direction of continuing research and improvement.