Based On A Search Engine And Data Mining Of Personalized Web Information Service

With the advent of the information age, people demand more and widespread information, and in the traditional sense the main sources of information are libraries, newspapers, magazines and books, which have been far from enough to meet this growing demand. Since the birth of the Internet, people find a more convenient and efficient way for information dissemination and access. With the advent of the twenty-first century, Information from internet has become an important way to gain information.After then, it has been found growing in the explosive growth of the Web to find information they need information very difficult, the difficulties in setting off the network beyond time and space brought about by the convenience, cost a great deal of time. Therefore, it is an urgent need for a technology and tools to solve this problem, search engines came into being. Search engine Web has greatly enhanced the efficiency of the users reach the information; people no longer like a needle in a haystack to find information and trouble.With the search engine application, it is more dependent on the network from access to the information they need, the need has become more diversified and personalized, and the traditional Web search engines to provide the information services are often stereotyped, must not be allowed to become increasingly "harsh" Customer satisfaction. In order to let users get what they need the unique information services, personalized Web information service in order to become a new development direction. In order to provide personalized, need to understand the user's personality, how to understand the user's personality to become researchers and information Web services are facing new challenges. Data mining technology for this new challenge is to find a breakthrough. This article is in the Web search engines to provide basic information services on the basis of the combination of data mining technology to provide personalized Web information service carried out research and exploration.The first chapter is part of the introduction, introduced the personalized Web information service background. With the increasingly frequent exchange of people and widespread, people's access to and retrieval of information put forward new demands. With the emergence of the Internet in this important, people using the Internet to retrieve the problems encountered, the search engine came into being, the search engine to enhance the Web in search of information on the efficiency, but the search for such people to work more Request, the emergence of Web services, personalized information.The second chapter is part of the search engine, introduced the major search engines and theoretical knowledge. First of all, describes the search engine production and development; followed by the introduction of search engines: the full text search engine and directory search engine; and then discussed the working principle of search engine, the search engine system includes five parts: the discovery and collection of information , Information processing, information retrieval, user interface, database, text in this part of the five discussed in detail; Finally, a search engine that existing problems and development trends, in which a very important development trend that is personalized, that is The focus of the discussion.The third chapter is part of the data mining; in order to achieve a personalized Web information service, users need to tap the personalized information, so this chapter discusses the theories about data mining. Introduced the background of data mining, data mining as early as the emergence of search engines, data mining is not the first Web information mining; then analyzed the data mining features: data mining is a dynamic, knowledge is reflected in the results, or rules, The results of data mining have a certain confidence level; introduced the classification of data mining, excavation in accordance with the results of data mining can be divided into broad knowledge of data mining, data mining related knowledge, knowledge of the classification of data mining, data mining cluster of knowledge, knowledge Forecast Data mining, data mining knowledge deviation; focus on details of key data mining techniques, including analysis of the association, classification analysis, cluster analysis, artificial neural network, decision tree, error analysis, pattern analysis of the sequence, and so on; that the final data The mining process, that is, the 5 steps: identifying the target, data preparation, data mining, and interpretation of the results of that, as well as the knowledge and application of maintenance, each step of the main tasks set out in detail.The fourth Chapter is the Design of the personalized Web information service, introduced a personalized Web information service system, the logical and physical architecture. Introduced the system into modules, the system includes a total of seven sub-systems: the user interface sub-system, system maintenance personnel sub-system interface, query optimization sub-system, system optimization, system maintenance, search engine subsystems, personalized service subsystem Sub-systems and databases. Next to this summary of the seven sub-systems design was introduced on a personalized Web information service system, as well as the detailed designing.The fifth chapter is the list of the realization of parts of the personalized Web information service, which mainly include user interface and data mining part of the implementation.The sixth chapter is the conclusion part of the paper on the work done by summary of the conduct, and further work done on.Personalized Web information service is of great practical significance. Resource on the Internet is very rich today, if the Web service or the user can not be efficient use of this information on the existence of the lost. As the Web personalization information services in meeting the needs of the user can achieve an unprecedented depth of the user's interest can provide a full and accurate summary of the general, you can efficiently and accurately provide the required information or Web services to Web information society Effectiveness and economic efficiency have been enhanced and will become the next hot Web applications.