Image recommendation model for web browser
Juan Zhao · Journal of Xi'an University of Science and Technology · 2012
It is difficult to ask browser to provide feedback for every image.Through analyzing user’s browsing behaviors in Web,such as reading,collecting and download,the attention degree of user about image can be measured.It indicates user’s feedback about this image.So,keyword preferences and image feature preferences are gained.Furthermore,forgetting strategy and learning strategy are designed to refresh user’s preferences.So,the proposed model provides recommendation from both of keywords and image features.Taking Precision and Recall as evaluation,experimental results show the proposed model is effective and has higher performance.