The Research Of Personalized Recommendation Based On Web Mining

With the development of network technology, how to use the data mining technologies to search on Web has come to be a hot research area in the information search field. Three problems need to be solved through information discovery technology on Web. Firstly, it must understand the user's need correctly. Secondly, it can execute query tasks efficiently and accurately. Lastly, it is able to organize the results before showing them to user. Now the popular and mature IR technologies settle these problems in a network information objected method. However, the network information oriented IR technologies cannot understand and execute users' personal need. In this dissertation, we bring forward a new model for information recommendation in Web, user-oriented information recommendation model. After combining advantages and disadvantages of the normal search model and the Meta search model, this paper raises another new model of personal information recommendation based on Web mining. The model can depart offline-model and online-model. Introduces the data preprocessing of the offline-model, and then discusses the special task of accessing mining. Data preprocessing is the step that brings users' documents and events documents through accessing log documents of Web server and some documents of sites. Special task of access mining brings out Web URL clustering using the clustering algorithm. Online-model mainly uses the Web URL clustering based on current accessing operation of users, recommendation the following accessing operation dynamically. Online-model mainly consists of user interface, interest learner, personality analysis, case-based reasoning, Internet database connecter, personality re-sorting and Web server. And the key algorithm of online-model such as, interest learning algorithm, personal analysis algorithm, personal re-sorting algorithm and case-based reasoning algorithm were discussed. Besides these, some simple syntax rules of the model were defined. The whole structure of the model was displayed through experiments, which verify the capability of it.