The exploration of user knowledge architecture based on mining user generated contents – An application case of photo-sharing website

Abstract

Traditional methods to obtain user needs, such as interview, have exposed the increasingly serious problem of bias and inefficiency when meeting the blooming of users. This research tried to ameliorate the situation by mining user-generated data and constructing corresponding user knowledge systems with the help of modern technologies. With a photo-sharing website as a study case, several techniques have been implemented, including image feature extraction, content analysis and statistical calculation, to analyze users’ characteristics and preferences. The results indicated that many of these techniques are practical and effective for future research in user experience design. It is foreseeable that the domain of this research can be expanded to text and voice to construct a synthesis approach for ultimately understanding users.