Network Behavior Model And Its Application In Personalized Service

With the development of Internet technology, the Internet resources have become animportant mean of people’s access to resources. In order to reduce the cost of search,categories websites and search engine which improved the efficiency of resource have beenseen in public. These personalized services eased the contradiction between the mass ofinformation and the single way to access to information to some extend, however the numberof web pages is growing so fast that users still have to spend much effort on obtaining theirrequired information from the mass information. The personalized information pushing andsearching technology based on user interest perceiving is a new method of effective access tothe Internet resources, and analyzing the user’s interest through their behaviors is the key toprovide personalized information pushing and searching service.This paper presents a web personalized service system which pushes different pagesaccording to user interest.According to the behaviors collected by the system and the models researched, this paperproposes a network behaviors model based on the different types of user’s behaviors. Thepurpose of the model is to predict the interest of the pages user browsed. We validate themodel by the behaviors collected to show the rationality of the model. According to thenetwork behaviors model, we can collect the pages which user is interested in. This paperproposes a way to form the user’s interest collection like a tree. The model and the user’sinterest collection are used to provide personalized service. Finally, this paper designs apersonalized application system based on user behavior model, this system providespersonalized service according user interest and the location of user.The personalized service system presents in this paper can provide a reference for futureweb personalized service, it also can be used in e-commerce users personalizedpush,personalized browser and so on.