Study And Application Of Architecture On Personalization Service System

With the rapid growth of information available on the computer network, a strong demand for personalized service, which provides users with information they are interested in, has been advanced. Recently, personalized service has won the favor of many users. Driven by the relevant technology development of personalized service, researches on the architecture of personalization service system come to be paid attentions.In the current field of personalization service researches, most attentions are focused on technology developments, such as user modeling, datamining, and information filtering. However, only a few of researches have been carried on the structure of personalization service. In this paper, a reasonable four-layer architecture of personalization service system is put forward first, based on a comprehensive analysis of personalization service. Then, further analyses are carried out, which include what functions the personalization service system should have and how it runs under such a four-layer architecture. Many aspects of personalization service system under such a four-layer structure are discussed in this paper, such as user modeling, functional modeling and data modeling. At the same time, some designs for each structure layer's functions and the relations between these layers have been schemed out, which have testified that building a personalization service system with such a four-layer architecture is both necessary and feasible.At last, combined with the current information system condition of certain department and its application needs, several useful functions have been realized, such as information consulting based on personal interest model, personal special database upbuilding, and personalization link custom-making. The above work provides a basic practice for how to realize personalization service on the background of heterogeneous data information system. It is believed that this work can provide some reference for the design and technology researches of personalization service system.