1P1-D22 A System for Visualizing Interest Models of Users based on Information in Browsed Web Page by User
Kosuke Kawazu, Masakazu Murao, Takeru Ohta, Masayoshi Mase, Takashi Maéno · The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec) · 2009
In these days, people expect functions to comprehend characteristics of the user, for example interest and liking, to communicate with computers smoothly. In this study, we constructed a system to visualize an interest model of the user based on information in browsed Web pages by the user by extracting words and interword relationships. In this model, metadata is appended to words and interword relationships. Kinds of metadata of words are personal name, corporate name, site name, name of commodity, product name and location name. Metadata of interword relationships is prepared to these words. This system makes a map by visualizing this model. This system has functions to modify this map. We showed efficacy of this system by using the evaluation experiment.