Web based graduate recommender system

With the development of internet technology, data management has become more and more complicated. Users interests have changed over time and data consumption has increased to the maximum level. Raw data can be rendered using the data mining methods , but the renderable data can not be exposed to users. At this point , suggestion systems steps in. By using recommendation systems, complex data with presentations have been removed and the interests of the user, search tendency or product type has taken role on building presentations. In this thesis study, user type suggestion system is conducted by using suggestions for registered users trends. The user's and people's in his/her life qualifications recorded to the system and the suggestion system architecture is used for serving information to the other users. Suggest and environment register and system architecture is presented to other users using this information. The purpose of this thesis is combining a proposition system with a graduate information system to achieve to the most accurate information in the shortest way.