Use Behavior Of Library Users Of Multimedia Resources

With the development of multimedia technology and network technology, more and more multimedia resource can be utilized by library. At the same time, the demand for individual user to share and exchange the multimedia resource becomes increasingly greater. The user has been the first essential factor when library builds the information resource. By studying the user's behavior, we can find the user's habits and interests. Then we can optimize the structure of resource and the deep exposure of configuration. At the present time, the research of user behavior for multimedia resource mostly focuses on statistic data. These data are commonly intuitionist. But they are deficient in the analysis of user behavior. How to distill the character of user and build the pattern of behavior are not enough.Based on the upward reason, the paper firstly studies the character of multimedia resource. Then the paper researches theoretic for the behavior of user. This paper puts forward a model which actualize by collecting the data of user behavior, then clean up the data and mine. This model include the thereinafter moments: ingathering the data,identify the user,recognize the affair,build the rule,apply the rule. This paper first introduces the whole layout and detailed design of this mode. Then, a prototype system of this model has been implemented based on data mining. In this prototype many basic functions have been accomplished such as raw data capturing, behavior data preprocessing, mode definition, mode mining, mode maintenance and mode contrast. This prototype has two basic specialties: put the user behavior into database straight and adopting FP-tree arithmetic to analyze the data.The paper applies the prototype into the behavior of using multimedia resource. These resources are coming from the library of Nanjing Normal University. Then, the paper particularly expatiates the course of examine and the means of implement. At the last, the paper brings forward three characteristic ministrants to the multimedia resource. They are:1) Individual resource commends. By analyzing the user behavior, we can find the habit and the interest of user. Then we can recommend the resource to the user veraciously.2) Forming the subject resource. We can provide the subject resource to user. These subjects found on correlative resources. The measure supplies convenience to the user, and improves the using of resources.3) Learning from use for reference. We offer the example of other's user for the current user. In this way, they can learn efficaciously.Finally, this paper have researched mode update and anomaly identification tentatively and given some farther suggestions of improvement. This paper provides a impact research for personalization of multimedia resource.