The Research And Realization Of Web-Personalized Navigation Pages Based On Types Of Users

Web servers are now evolving themselves from server-centered to user-centered servers, so trend of internet web site's development is personalization web sites. But users are to be diversified, and they should be distinguished no matter whether from the perspective of visiting time, registering or their favourite.Therefore, traditional sole personalization isn't applied to all types of users, so diversified personalization is inevitable trend to realize personalization of itself.Before users visit "content pages" they often pass through a large amount of "navigation pages". The deeper the website's structure level is, the larger the proportion of piloting pages quantities are. So the purpose for this article aims at how to personalize "navigation pages" and through them how to get quick access into users' favourite " content pages".This thesis mainly provides insights into adoption of various personalized recommendation based on different types of users aiming at personalization of "navigation pages" in a website centered by the first page in avoidance with the only method which is inclined to appear in traditional web personalized recommendation. This new strategy is mentioned in my article such as all of them like registered users, anonymous users, subjective users, objective users, sample long-time users, ordinary long-time users, new users have their own appropriate recommendation in terms of their respective personalized navigation pages. In the mean time, my article also makes full use of web-related technology, clustering algorithms and classification algorithms to design a preliminary system constructed by the first page of a simulation website as well as by background management procedure which helps it realize personalization. What's more, this system will be used to testify possibility of this new personalized strategy. To be more specific, this system is mainly divided into two parts: web mining part in terms of users' visiting mode(offline dealing part) and regulation part in terms of web pages in different websites(online dealing part).