| The searching engine, as a result of the Internet developed rapidly, is an information searching system based on Internet. Since 1990s', Internet has been developed rapidly, the World Wide Web provides users with a massive valuable information sources, and gradually becomes a huge distributed information space. But how people can fine the information that he interested in the huge information source? It becomes a problem that needed to solve urgently for users. Traditional searching engines don't satisfy user's need of high quality information, though they solve some problems of information orientation.Take an existing searching engine system for instance. This paper puts its development under discussion, of analysis of the requirement of the customer and the system of this kind. The systematic modules and functions are determined. Based on the JSP and Access database technology, the author analyzed the key technology and questions of the design, and discussed the method of the realizing of the searching engine system, which is a multilayer structure. Finally, we developed the system functions expected, such as users information manage, information searching, information filter, interest learning and scheduling model of searching engines.In point of realizing, make use of JDBC-ODBC package of JSP to connect the webpage to the database, make use of the technology of meta-searching engine to searching information, make use of the technology of information filtering based on TFIDF, adopt the method of hidden interest learning based on VSM, and make use of modeling method of reinforcement learning to build a scheduling model of searching engine. We have developed an intelligent and personal searching system.The author made a brief introduction to an information searching and information dealing system based on B/S, a kind of multilayer structure. Of course it is discussion about this kind of system in rough and we hope it is helpful to related people. |
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