Collaborative Filtering Support for Adaptive Hypermedia

Abstract. Web applications of today are dealing with huge amounts of data. Developers need tools to manage those data efficiently and they need be able to present the most important information to users. Modern applications offer personalization of content and some of the applications are also capable of delivering adapted information based on user needs. One of the possibilities for adapting information presented to the user is collaborative filtering. Information is filtered based on the preferences of similar users. In our work we are developing a general adaptive web model. One of our experiments focused on collaborative filtering algorithms and their application in adaptive systems. We present our approach, experiments and results of our work