The Application of Visualization in Optimizing Personalized Recommendation Result

With the explosive growth of big data, people want more efficient access to their most relevant information. The personalized recommendation system can pick individual interested items and send it to the specific user. However, the traditional recommendation result are generally showed by images or a simple list without any feedback, which is not good for user experience and result optimization. This paper uses the visualization technologies to visualize the recommendation result and provides interactive controls for users. Then the interaction data would be input for the next round of recommendation. In the end, we give a user study to test our optimization effect.