It is conventional to make personalized recommendation according to users' web browsing behavior. The difficulty, however, lies in accurately identifying users' specific content focus on web pages. In order to obtain users' preference more accurately, data analysis on eye movement experiment was conducted to find out whether there exists a screen hotspot that users focus when browsing the web, and whether these hotspots' location was affected by gender, types of web page, or the user's familiarity with the web. It also provided new method for more accurate real time personalized recommendation...
