Web resource recommendation method based on intuitive fuzzy clustering
Gongbo Zhou · Journal of Computer Applications · 2012
In the classification of the Web resources,a recommending method of Web resources based on intuitive fuzzy C-means clustering was proposed to solve the problem that the traditional method based on user interest cannot reflect the change of their interests accurately and the difficulty in distinguishing the quality and the style of content of resources.In the method,firstly,the Web resources were expressed as intuitive fuzzy data according to the user interest degree.Then the integrated theory of intuitive fuzzy information was applied to classify the resources.Lastly,the similar resources would be recommended to user successfully.Theoretical analysis and experimental results show that this method has a great advantage in improving the quality of recommendation compared with traditional fuzzy C-means and collaborative filtering method.