Social and content-based approach for visual recommendation of Web graphics

We propose a visual browsing technique that combines content-based and social information to make use of their own advantages: specialization of filtering results and serendipitous information discovery. The system consists of a content-based map and a dynamic social filter. A visual interface based on this technique is applied to our World Wide Web graphics recommender system