Gradual Adaption Model for Estimation of User Information Access Behavior

In this study, we propose a gradual adaption model for estimation of user information access behavior. A variety of userspsila information access data are collected by unit of a day for each user, and analyzed in terms of short, medium, long periods, and by remarkable and exceptional categories. The proposed model is then established by analyzing the pre-processed data based on Full Bayesian Estimation. We further present experimental simulation results, and show the operability and effectiveness of our proposed model.